Lobe
Amazon Machine Learning
Machine Learning Playground
Deep Learning Gallery
Apple Machine Learning Journal
A.I. Experiments by Google
Facebook.ai
TensorFlow
Computer Vision Annotation Tool (CVAT)
AWS SageMaker Ground Truth
Labelbox
Supervisely
Universal Data Tool
V7
Segments.ai
SuperAnnotate
Computer Vision Annotation Tool (CVAT)Lobe might be a bit more popular than Computer Vision Annotation Tool (CVAT). We know about 15 links to it since March 2021 and only 14 links to Computer Vision Annotation Tool (CVAT). 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.
This is interesting. The closest I can compare it to is lobe.ai. Source: over 1 year ago
Lobe.ai says object detection is coming soon. Source: over 1 year ago
I need urgent help please!!! I've just installed the new Version of lobe.ai on my MAC and now, after it has finished, the prediction rate has decreased from more than 90% to 50% :-( :-(. Source: over 1 year ago
Using lobe.ai 0.10.1130.5 I successfully trained using my Webcam Logitech C920. The camera turned live, and I could take individual and rapid-snap photos. But after proceeding to 'Use', the camera button does show, but nothing happens when I press it, not does hovering raise a floating menu. What am I doing wrong? Source: about 2 years ago
I'm having similar AttributeError . Wondering if this is due to the recent version changes in lobe.ai? Source: over 2 years ago
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
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