Overview
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.
Pricing
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Product Demos
How to download data from SuperAnnotate
How to integrate GCP with SuperAnnotate | Tutorial
Create AWS integration with SuperAnnotate | Tutorial
Manage contributor roles on SuperAnnotate
How to invite team members on SuperAnnotate platform
Project settings and permissions on SuperAnnotate platform
Product Details
- About
- Competitors
- Tech Details
What is SuperAnnotate?
SuperAnnotate Features
- Supported: Editor Canvas
- Supported: Automating annotation
- Supported: Neural Network
- Supported: QA Automation
- Supported: Workflow Automation
- Supported: Active Learning
- Supported: Python SDKs
- Supported: Management/Analytics
- Supported: Integrated annotation teams
SuperAnnotate Competitors
SuperAnnotate Technical Details
Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
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Operating Systems | Windows, Linux, Mac |
Mobile Application | No |
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Reviews
Community Insights
- Business Problems Solved
- Recommendations
SuperAnnotate has proven to be a game-changer for organizations looking to streamline their dataset annotation process. With its provision of various annotation types, including vector, pixel, and BB, users can now achieve accurate results and high-quality annotations for machine learning models. The platform's smart segmentation feature is an extra topping that helps manage tasks faster, thereby saving users a lot of time spent on annotation.
Users also find SuperAnnotate's annotation tools straightforward and well-organized, making it easy to work with regardless of project complexity. This enables them to maintain large teams, delegate annotation to specific team members, and monitor annotation progress effectively. Additionally, the platform's cost-saving automatic annotation feature has helped users save time and speed up tasks that would otherwise take longer to complete.
Overall, SuperAnnotate helps organizations across numerous industries to tackle complex annotation projects that vary in scale and time sensitivity. Some of these include boat detection, environmental monitoring, dentistry, PCB assurance, medical imaging annotation, wine production, fashion industry and ADAS and Robotics projects. The platform has seen an increase in the quality and speed of annotations delivered compared to traditional methods used previously by customers.
SuperAnnotate is highly recommended by users who require precise data annotation and offers various methods for uploading images. It is suggested to take into account the job size, frequency, and use case when using labeling to ensure quality. Outsourcing may be beneficial in certain cases. Users also advise reaching out to the support team for additional functionalities. SuperAnnotate is praised for its comprehensive toolset and features, making it ideal for modern data collection pipelines. Its high annotation rate and usefulness for image annotation are highly regarded by users.