Computer Vision Annotation Tool (CVAT)
AWS SageMaker Ground Truth
Labelbox
Supervisely
Universal Data Tool
V7
SuperAnnotate
Hasty.ai
Segments.ai
Labelbox
Universal Data Tool
Supervisely
CrowdFlower
Amazon Mechanical Turk
Labeling AI
Dataloop AI
Segments.ai is a fast and accurate data labeling platform for multi-sensor data annotation. You can obtain segmentation labels, vector labels, and more via the intuitive labeling interfaces for images, videos, and 3D point clouds.
Build your clever annotation workflow exactly how you want, with the flexibility you need to get the job done quickly and efficiently. Segments.ai is a self-serve platform with dedicated support from our core team of engineers when you need it.
Onboard your workforce or use one of our workforce partners. Our management tools make it easy to label and review large datasets together.
Get started with a free trial today at https://segments.ai/join
Computer Vision Annotation Tool (CVAT) Segments.aiNo features have been listed yet.
Based on our record, Computer Vision Annotation Tool (CVAT) seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Another powerful resource is CVAT, the Computer Vision Annotation Tool which supports both image and video annotations with advanced capabilities such as interpolation of shapes between frames, making it highly suitable for computer vision. - Source: dev.to / 5 months ago
CVAT has an open source repo under MIT license: https://github.com/opencv/cvat I've not worked with it directly but it might be a good place to start. Source: 5 months ago
An open source annotation tool that integrates object detectors is CVAT https://github.com/opencv/cvat however, using your own detector might require some coding. There is an integration for yolov5, but without modification it only loads the pretrained models. Source: 12 months ago
This integration is currently available in the open-source version of Computer Vision Annotation Tool (http://github.com/opencv/cvat)! Please use it for your computer vision projects to segment images faster. - Source: Hacker News / about 1 year ago
You can download the CVAT docker from a github (Link) and install it yourself, keeping all data local. And here are two options - locally on your personal computer (or company server) or in your own cloud (there are instructions on how to do this with AWS). - Source: dev.to / about 1 year ago
AWS SageMaker Ground Truth - Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.
Labelbox - Build computer vision products for the real world
Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset
Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...
CrowdFlower - Enterprise crowdsourcing for micro-tasks
V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.
