Request demo. SuperAnnotate overview SuperAnnotate is an annotation platform that enables computer vision teams to rapidly annotate even the most complex pixel-accurate annotation projects. Apply now. October 25, 2022. SuperAnnotate has a 14 day free trial. Leadership: Very talented, accessible and empathetic. What is SuperAnnotate?A complete set of solutions for image and video annotation and an annotation service with integrated tooling, on-demand narrow expertise in various fields, and a custom neural network, automation, and training models powered by AI. Through its robust platform and comprehensive managed services, it enables an increasing number of innovative organizations to utilize its tools in the creation of cutting-edge AI products. Stay connected. Collaboration system. Edge AI itself is not a physical, tangible entity. The software offers flexible editors and powerful automated workflow controls for data management pipelines. The new feature makes the video upload as effortless as possible and is an important cornerstone of the video annotation process itself. This is the start of our continuous. 02. Level 1: instance-based. Create projects, set up integrations, upload annotations, run predictions, filter and download datasets, and more. Attach tiled imagery URLsYou can import tiled imagery by linking them from external storages. SuperAnnotate is the all-in-one AI data infrastructure platform that helps ML and data teams save time on building accurate AI models with the highest quality training data — SuperData. SuperAnnotate passwords and credentials are encrypted at rest and in transit: Encryption at rest Data within SuperAnnotate is encrypted at rest in accordance with industry standards. Prodigy is a powerful data labeling tool designed for machine learning workflows. So, it can read big files but write short outputs. From teams to user management, from annotation to quality assurance, and from data training to sustainable scaling, we provide the best tools for an effective annotation automation process. Research and educational materials, case studies, and product updates. The comment feature involves all stakeholders in the quality review process of the annotations, making collaboration and task distribution more seamless than ever. However, a robust team, project, data itself, and quality management system are crucial as well, especially when it comes to larger projects. If you're already signed in, click on the SuperAnnotate icon in the top left corner to go to the Choose a workspace page. Installation. It is free software available in Windows, Mac and Linux OS. Create projectTo create a project:Pythonsa. Stay connected. SuperAnnotate is a platform that helps you create, manage, and improve your custom GenAI models and data labels with high-quality training data and annotation services. The. Subscribe to receive new blog posts and latest discoveries in the industry from SuperAnnotate. Project Management Integrations and Security LLM Annotation Tool Image Annotation Tool Video Annotation Tool Text Annotation Tool Audio Annotation Tool Classification Tool. SuperAnnotate LLC. SuperAnnotate: FAQs by customers 2022. 64GB RAM instances. API reference. Best known as “smart” appliances from smart homes to smartwatches. Neural network training. Collaboration system. With the arrival of large language models, AI is now learning to communicate. create_project( project_name = "Project Name", project_description = "Project Description", project_type = "Vector") 📘Project typesImage Project: VectorImage (Legacy) Project: PixelVideo Project: VideoText Project: TextTo create a Video Project and set the. Product updates, case studies, research articles, and more to help you keep up with the latest industry trends. They can be triggered by creating new items, updating annotation/approval status, deleting existing items, as well as making modifications to. Bounding box annotated images advance the object detection of visual perception models by spotting targets across multiple industries. Image annotation can be understood as the process of labeling images to outline the target characteristics of your data on a human level. With world-class support. View the status of all your items and projects to track their progress. Single sign-on (SSO) Single sign-on (SSO) allows users to access multiple corporate applications, websites, and data for which they have permission with a single set of login credentials. The result is then used to train a model and, depending on the quality of your data, achieve the desired level of accuracy in computer vision tasks. We promise to get back to you as soon as possible. 01. Automated machine learning (AutoML) is the new fast-growing technology that aims to make data science more productive and accessible for everyone. AEDIT was also able to increase model accuracy by 6%. February 11, 2022. Top 6 use cases of computer vision in insurance. This feature is available for. In text annotation, sentence components, or structures are highlighted by. Manage organizations. And while there were a number of differences between the platform, there are 2 key differences I want to highlight: User Experience – SuperAnnotate’s user experience is vastly superior. Lay a solid foundation for successful. Clients must support Transport Layer Security. We’re introducing two-factor authentication (2FA) as an added layer of security to user accounts. expert annotation teams to manage your annotation projects. Whether you. What's SuperAnnotate Neural Networks and how can I use it?The Neural Networks is an environment where you can create and train prediction models. Create top-quality training data across all data types. 5 Million To Help Automate The Computer Vision Pipeline By Forbes. 📘To move around an image. SuperAnnotate is the world's leading platform for building the highest quality training datasets for computer vision and NLP. Our users prefer SDK integration as it minimizes manual processes, reduces workflow complexity, and helps complete tasks way faster than existing alternatives. The annotation files should have the following naming conventions: Project typeAnnotation file naming conventionImage (Legacy)<item_name>. Dmitriy Konyrev. V7 lets you automate your ML pipeline—annotate data, train models, and create ground truth faster. Step 1: Enable CORS in your storage. Basic Tokenization labels words such as California and San in San Francisco, while Smart Tokenization labels sequences of words such. FineTune Explore Orchestrate WForce. Computer vision is being used in numerous fields and is expected to grow into a $48. SuperAnnotate for sports Machine learning empowers coaches, referees, sport professionals and even sponsoring brands to achieve unparalleled control over the games and sporting events. 📣 Our latest webinar - "Super-Segment Anything," attracted a broad interest, so it will be presented for the OpenCV audience as well. “The curation tool/Explore has improved a lot in just the last year, and it is awesome! The efficiency of the QA workflow and the ability to review data and take actions in bulk saves us a tremendous amount of time, speeding up. What’s new - September 2020. Point tool in the Video Editor; Keypoint workflow setup and download file deletion; Display settings in grid review and bulk approval status changeSuperAnnotate launches Real-Life AI, a brand new podcast series. SuperAnnotate python SDK is available on PyPI: pip install superannotate. Build robust CI/CD pipelines using SuperAnnotate’s toolkit of neural networks, Python SDK, webhooks, and advanced orchestration. OpenML. Project status. View the status of all your items and projects to track their progress. This is your code editor. Annotation software. In this article, we’ll list important updates on the current cycle. Request Demo. Read on to learn about Whisper, OpenAI’s remarkable creation, its history, and how to run the speech recognition model using SuperAnnotate. attach_items( project = "Project Name", attachments = ". Its robust features, seamless integration options, and user-friendly interface have made it my top choice for handling AI projects. Cutting-edge technology: SuperAnnotate is at the forefront of AI. TLDR; what the team at OneCup loved most about SuperAnnotate’s end-to-end solution for ML pipelines: 10-20x reduction in annotation cost: SuperAnnotate was able to reduce OneCup’s data annotation costs by 10-20x. San Francisco, California. Team members can chat in the comment window until the issue is resolved. Video annotation is broadly defined as the task of labeling and tagging video footage to train a computer vision model. Increased software and product-building. Platform. We will also publish another article covering our results on segmentation tasks. At SuperAnnotate, we provide a multitude of tools for the entire pipeline to obtain high-quality training data. SuperAnnotate provides interlinked annotation and QA processes within the same platform. Many of these tasks have complex, pixel-accurate annotation requirements. . non-practitioners. SuperAnnotate stands as a premium-quality ground-truth data provider across the field, where you can annotate, version, and manage data. Machine learning completely modernizes the security industry and provides tools to automate lengthy paperwork, minimize data leakage and even detect risky or fraudulent events. SuperAnnotate is designed to. With every release, we strive to bring new features to SuperAnnotate to help you create top-quality training data. The architecture and pipelines for building new multimodal LLMs and an ensemble of collaborative LLMs are becoming increasingly complex. The comment feature involves all stakeholders in the quality review process of the annotations, making collaboration and task distribution more seamless than ever. Tiled Imagery Editor. Create a training model to automate your project and speed up the annotation process all while delivering quality results. LiDAR (Light Detection and Ranging) is a remote sensing technology that uses lasers to measure distances and generate precise three-dimensional information about the shape and characteristics of its surrounding objects. Other image annotation medical use cases range from quantitative analysis for cancer cell detection to kidney stones,. Object detection and instance segmentation: COCO’s bounding boxes and per-instance segmentation extend through 80 categories providing enough flexibility to play with scene variations and. 01. Upload data to your project. OpenCV. Platform. 5. Explore more features. The linked items are displayed in SuperAnnotate, but they aren't stored on our local se. 3 min. Moreover, among the tools it provides, the “Smart Segmentation” option can guide. When you download a project, the download package includes the JSON files of your annotations. Keep an eye out for more feature upgrades by the end of May. Moving on, we will address the following in this blog post: Smoke vs. The investment follows a four-month period during. Computer vision in AI drones 2023 [Client use case] Discover the essentials of computer vision in AI drones, explore various types of image annotation for drone training, and learn about their applications in popular industries. SuperAnnotate decreased our annotation cost and drastically increased our annotation quality. The platform enables robust and efficient collaboration between ML and Data teams to create, generate, version, debug, and manage ground truth data and build. With SuperAnnotate, you can: high-quality annotations. Key results: Model accuracy increased from 80. Release date: March 20, 2022. Get detailed information on the performance of your annotation team as well as your dataset's health. In this article, I would like to present our implementation of 2 active learning algorithms ( [1], [2]) and their usage in SuperAnnotate's platform, share the code and some benchmarking data. Those predictions can go on to mitigate financial risk for a bank or credit union. From teams to user management, from annotation to quality assurance, and from data training to sustainable scaling, we provide the best tools for an effective annotation automation process. Step 1: Begin. Request Free Access. SuperAnnotate, an AI-powered annotation platform for engineers and labeling teams, today announced it has raised $3 million in venture funding. By using SuperAnnotate's Annotation service, our AI solutions team will cover that for you. Lay a solid foundation for successful. You can approve and disapprove instances in Image Projects and Image (Legacy) Projects. Video or Audio Project - Import annotation format. AdSign in to your account Sign in with Google Sign in with SSO Or Email * Password * Forgot password?SuperAnnotate is a company that offers a fast and easy way to annotate, manage, and automate AI projects using computer vision. Our users prefer SDK integration as it minimizes manual processes, reduces workflow complexity, and helps complete tasks way faster than existing alternatives. When it comes to AI-assisted data labeling approaches, we offer both scribble-based and superpixel-based approaches. Key Attributes: Report Attribute. Real-time object detection tasks require both algorithmic accuracy and performance time in frames per second as much as possible, and most of the time, it's a trade-off between these metrics. Company history: With a mission to build and shape better technology, Keymakr started as a 10-people-company back in 2015. Level 2: bulk QA. This is the 3rd article in our list of. Our solution is designed for projects of any complexity. Image (Legacy) Project - Export annotation format. It contains 60 video clips and 21,646 corresponding ground truth maps with pixel-wise annotation of salient objects. The platform provides a range of annotation services, including image annotation, text annotation, and. Increased operational efficiency, and automated workflow. With advanced annotation and QA tools, data. 01. A convolutional neural network consists of an input layer, an output layer, and several hidden layers. The move means startups and entrepreneurs will be able to build their own AI models and allow cameras to detect objects using machine learning. You can upload up to 2,000 images at a time. Annotation services. The fastest toolset. 02. Contact us for more information. View. February 11, 2021 SuperAnnotate Partners With OpenCV to Spread Visual ML By. This works with the following attribute group types only: Single selection and Multiple selection. SuperAnnotate python SDK is available on PyPI: pip install superannotate. This post will cover the top 7 considerations to help you scale your CV and annotation pipeline. Create an instanceThe Image (Legacy) Editor has 4 annotation tools: Polygon, Brush, Box, and Ellipse. Here’s a peek at what you can look forward to: AWS bucket’s folder structure replication;SuperAnnotate Python SDK is available on PyPI. Time is an indisputable incentive when it comes to project annotation. Appen is a leading data annotation platform that offers auto-labeling features and a wide range of annotation tools. SuperAnnotate’s QA pipeline . It would be smart to calculate the opportunity cost, the loss or gain of your decision before you go in. From teams to user management, from annotation to quality assurance, and from data training to sustainable scaling, we provide the best tools for an effective annotation automation process. 02. Introducing SuperAnnotate’s collection of magic tools that enable faster and more accurate annotations for a wide range of AI applications. Or. A convolutional neural network consists of an input layer, an output layer, and several hidden layers. SuperAnnotate. SuperAnnotate vs. 1% to 92. Suggest Edits. 1. SuperAnnotate rises to the challenge, turning this unstructured data into valuable and actionable SuperData. Collaboration system. com or send a message to SuperAnnotate AI. Text Project - Import annotation format. Its user-friendly interface, precision annotation capabilities, powerful collaboration features, and AI-assisted automation make it a cut above the rest. To exclude certain video file formats from the upload: Python. Our platform's automatic OCR annotation tool is particularly beneficial, as it enables users to annotate text from images or scanned documents quickly and accurately. Computer vision is a branch of artificial intelligence that allows machines to possess the capability of thinking and interpreting visual data as a human would. 32 billion in 2020 and is expected to expand at a compound annual growth rate of 7. 5. According to a 2021 McKinsey report, MLOps is a distinguishing factor among advanced artificial intelligence companies vs. Point Cloud Editor. Given the team’s academic background, they have recently. /images. This is some text inside of a div block. 4%. It is a robust platform that allows users to efficiently and accurately label images, videos, and other data types for machine learning applications. 2) Then, we extract the text using free text. The first round of predictions using SuperAnnotate’s predictions model. ; Under Formats, choose SuperAnnotate (mandatory). SuperAnnotate is addressing those problems with the first of its kind end-to-end application development platform for computer vision. OpenAI Whisper — Your speech-to-text AI: History and usage. 000 datasets are regularly updated and. 12 min. If you are interested in our Academic offer, please submit the form on this page. By using SuperAnnotate's Annotation service, our AI solutions team will cover that for you. Start the annotation process (e. Upload annotations to migrate your work from one project to another or from another platform to SuperAnnotate and continue where you left off. While inherently complex, pattern recognition involves analyzing the input data, extracting patterns, and comparing them against the stored data. July 12, 2021 SuperAnnotate Raises $14. Before an item is complete, it goes through several annotation stages. See how you can increase model accuracy. At SuperAnnotate, we provide a multitude of tools for the entire pipeline to obtain high-quality training data. This one is an open-source online ML experiments database for sharing and organizing data with ML engineers and researchers. Link items from your external storage to your project. 3 min. For more detailed installation steps and package usage please have a look at the tutorial. 30 Free Hours of Compute Per Month. If you’d like to be surrounded by people who also live with these values, join us in creating a smarter, safer. To build a quality CV project, it’s important to quickly annotate, train, and iterate the data. From teams to user management, from annotation to quality assurance, and from data training to sustainable scaling, we provide the best tools for an effective annotation automation process. Bug issues. The remaining images will be skipped. Learn more Stay updated. The following cloud storages are supported: AWS S3 buckets, GCP storages, Azure storages and Custom storages. 7+ and was tested under Linux and Windows ( Anaconda ) platforms. According to a 2021 McKinsey report, MLOps is a distinguishing factor among advanced artificial intelligence companies vs. g. Click Prepare Download. Unfortunately, many annotation tools and platforms lack these features, and that’s why SuperAnnotate. As of March 2023. You can use advanced tools and automation features to label data across multiple data. What could b. This is the backbone of the AI computer vision, where, for example, in order for your self-driving car software to accurately identify any object in the image, say a pedestrian, one needs. Enable CORS. The evolution of computer vision. This means that you can apply a default attribute for Objects and Tags with Single or Multiple selection group types. Installation. We have 4 defining values at the core of our culture, which will guide you throughout your experience at SuperAnnotate. You can import annotations to all project types. At SuperAnnotate, we utilize our Vector Editor for OCR use cases: 1) First, we place bounding boxes for the named entity recognition. Object detection is a pivotal aspect of computer vision that involves identifying and locating specific objects within an image or video frame. CV pipeline integration. However, a robust team, project, data itself, and quality management system are crucial as well, especially when it comes to larger projects. It offers a range of annotation tools, from drawing to semantic segmentation. Learn how to integrate SuperAnnotate with your AI pipeline. 01. Upload data to your project. Annotation quality is especially critical when it comes to healthcare. Those predictions can go on to mitigate financial risk for a bank or credit union. The package officially supports Python 3. With his demonstrated experience in technology, startups, and management, Tigran brings his unique outlook to the current AI landscape. Start the annotation process (e. What you'll need. Building super-fast AI-powered image/video annotation tools for various Machine Learning applications. Sign in with Google Sign in with SSO Or Email * Password * Forgot password?#1 Video annotation software on G2 Trusted by 20% of Fortune 50 companies 8 reasons why businesses choose SuperAnnotate Guaranteed quality Faster execution Tailored. Finding the right annotation workforce. 03. Machine learning completely remodels the healthcare industry and provides tools to detect and prevent diseases –something no human could do before. SuperAnnotate for healthcare. Product updates: October 23, 2022. The move means. Did we mention that it’s free? You can also filter your images by classes. It not only speeds up product development lifecycles but also decreases the. To automate the workflow, check the Automatic class change box. 12 min. It specializes in high-volume and complex data and helps a wide range of deep-learning teams automate their data preparation processes. Better AI unlocks a better world, yet there are countless companies and individuals running the same race as you to own the keys for that world. The data labeling tools in question need to be reliable, efficient, require minimal human intervention, and generally provide features that you don’t currently acquire in-house. Overall: I can confidently say that SuperAnnotate is a game-changer for anyone involved in image and data annotation. September 16, 2020. annotator_email: The assigned annotator’s email address. The package officially supports Python 3. The fastest annotation platform and services for training AI. SuperAnnotate also offers integrations with popular machine-learning frameworks like TensorFlow and PyTorch. Today most organizations are still unable to finance individual computer vision labs to develop models to meet their product needs, which is where SuperAnnotate steps in with its end-to-end platform to annotate, train, and automate a computer vision. 1% to 92. . Computer vision is among the most progressive and rapidly growing fields. Computer vision is not only resourceful when it comes to analyzing existing data, but it goes forward another step to utilize diverse data, recognize patterns, and generate data-driven predictions. Upload annotations to migrate your work from one project to another or from another platform to SuperAnnotate and continue where you left off. 6 billion this year and. With advanced tooling and QA, ML and automation features, data curation, robust SDK, offline access, and integrated annotation services, we enable machine learning teams to build incredibly accurate. Get up to 200 hours of GPU training and create the highest-quality datasets with SuperAnnotate. Dota 2 is a top-rated game with a World Championship total prize pool of 45 million US dollars for 2022. You can cancel the preparation stage by clicking Cancel instead. In the current article, we will cover the results of using the “Learning Loss for Active Learning“ [1] algorithm for object detection and human pose estimation tasks, its usage in SuperAnnotate ’s platform, share the code and some benchmarking data. It considers the analysis of a variety of data from audio to visual and then later utilizes that information to execute different processes. Build robust CI/CD pipelines using SuperAnnotate’s toolkit of neural networks, Python SDK, webhooks, and advanced orchestration. Installation. 03. Who we are. ; GCP bucket - type in the location path where the annotations will be stored. Single sign-on (SSO) Rename, pin and delete project. Unlike image classification tasks, assigning a singular label to an entire image, object detection algorithms discern multiple objects in an image and. Chance of authoritarianism — By essentially automating facial recognition and detection, governments are able to monitor and track individuals’ movements among society. More than 21. “classId”: integer - Class ID (A class ID from the “classes. qa-automation qa-automation Public. 15 min. Here at SuperAnnotate, we strive to use state-of-the-art computer vision technology to automate and accelerate the creation of pixel-perfect annotations. SuperAnnotate offers end-to-end data management services for computer vision teams. FAQ Can’t find what you’re looking for? We’re. SuperAnnotate is designed to feed quality data into. SuperAnnotate is introducing an effortless priority-score sorting! Define priority scores in bulk to annotate high-priority items first. Select components from the left panel to begin building your formRelease date: May 22, 2022. SuperAnnotate, for example, is committed to being the most trusted end-to-end platform to annotate, version, and manage ground truth data for AI as it complies with the following regulations: GDPR, SOC2, and HIPAA. The main idea here is to add random noise to data and then undo the process to get the original data distribution from the noisy data. We are SuperAnnotate — the world’s leading platform for building the highest quality training datasets for computer vision and NLP. Installation #. Natural language processing (NLP) Natural language processing is the branch of AI that concentrates on in-depth analysis of how people speak and talk. Exclude video formats from upload. Annotation toolsThe Image Editor has 8 annotation tools: Point, Polyline, Polygon, Bounding Box, Rotated Box, Ellipse, Cuboid, and Magic Box (for OCR). SuperAnnotate launches Real-Life AI, a brand new podcast series, inviting industry professionals to discuss modern-day AI applications. 4 min. If it’s entity, then the instance is an annotation. Fast-track the annotation process. In the context of machine learning, diffusion models generate new data by reversing a diffusion process, i. aggregate_annotations_as_df ( project_root = “. When the download is complete, a folder will appear. This is a. sa. Having quality annotations is crucial, and this is where you can benefit from having a platform like SuperAnnotate. SuperAnnotate’s Data Curation and QA systems were key parts of the SuperAnnotate platform for Hinge Health. Image panel redesign. As intelligent as machines can get, human language is sometimes hard to decode, even for humans. Training this kind of large, complex model, however, requires a robust data annotation workflow with quality management measures and smooth iteration cycles. Custom pricing is available as well as starter, pro and enterprise plans. SuperAnnotate is an annotation editor that allows you to create high quality labeled datasets with AI-powered features. SuperAnnotate Desktop. Click to place the points of the po. June 14, 2023. If you’d like to be surrounded by people who also live with these values, join us in creating a smarter, safer. To download your project: Go to the Downloads tab. “Also, since the annotators were. As a part of that effort, several smart pre-annotation algorithms were integrated into the platform, allowing our users to fix the auto-generated annotations, instead of starting from scratch. 8 min/scan to 4. SuperAnnotate: FAQs by customers 2022. Go to the Downloads tab in FineTune. SuperAnnotate provides several editors: the Pixel and Vector editors are well suited for annotating images for the semantic segmentation task. At SuperAnnotate we develop new features, integrate new functionalities, improve existing tools, and release the changes regularly at the end of each development cycle. A high-level introduction to SuperAnnotate with a quick demo of the platform by Oscar Örnberg, ML Solutions Engineering Lead at SuperAnnotate. We had our own system, but we wanted it to accomplish additional tasks, like create new annotations types or annotate videos—activities that V7 helped us complete. Various alternatives pricing & plans. Scikit-Image. After the conference, my brother, Tigran, and I decided to drop out of our PhDs and fully focus on actually starting and building our company. SuperAnnotate requires read,. Key results: Model accuracy increased from 80. SuperAnnotate python SDK is available on PyPI: pip install superannotate. IntelinAir has a wide range of annotation projects. To use the common annotation formats, you need to convert the annotations to the SuperAnnotate annotation format first. SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data. As an image segmentation technique, panoptic segmentation is essentially a marriage of instance segmentation and semantic segmentation. QA Automation Python 1 0 contributions in the last year Contribution Graph; Day of Week: November Nov: December Dec: January Jan: February Feb: March Mar: April Apr: May May: June Jun: July Jul: August Aug: September Sep: October Oct. In this article, you will find all the updates on the current cycle. Click Copy on the floating bar. However, SuperAnnotate’s tool allows you to train the model with your data. e. Pythonsa. With advanced tooling and QA, ML and automation features, data curation, robust SDK, offline access, and integrated annotation services, we enable machine learning teams to build incredibly accurate datasets and. Subscribe to receive new blog posts and latest discoveries in the industry from SuperAnnotate. We may maintain pages for SuperAnnotate on social media platforms, such as Medium, Facebook, Twitter, and LinkedIn. You can: Import items from your local storage or AWS S3 bucket. ”SuperAnnotate, a NoCode computer vision platform, is partnering with OpenCV, a non-profit organization that has built a large collection of open-source computer vision algorithms. Superannotate provides a wide range of annotation features, including bounding boxes, segmentation, and point annotation. Pros. With advanced tooling and QA, ML and automation features, data curation, Orchestration, and integrated workforce marketplace, we enable machine learning teams to build and manage incrediblyDiseases like brain tumors, blood clotting, and a handful of neurological disorders are detected through CT scans and MRI, both of which function based off of well-trained ML models with considerable medical image data. 4. Image annotation can be understood as the process of labeling images to outline the target characteristics of your data on a human level. Dataloop provides services for a full computer vision project including: annotation, model evaluation, and model improvement with human led feedback. To export the data of a Image Projects and Image (Legacy) Projects in the SuperAnnotate format:. The tool is designed to recognize and extract text from images, and then. Annotating text in invoices or in financial documents is a much different task than common object detection or semantic segmentation. Here, bounding box annotations help machines estimate the level of damage so that insurance companies. Industry: Healthcare. SuperAnnotate for agriculture. Select components from the left panel to begin building your formSemantic and Panoptic segmentation annotation at SuperAnnotate 2. Click and hold while you drag your cursor to select the instances you want. If you are interested in requesting a demo, please submit the form on this page.