DarkMark VS layerx-community

Also see DarkMark. For several years it has had support for loading custom Darknet/YOLO weights (not just MSCOCO!) to help annotate more images. https://www.ccoderun.ca/darkmark/Summary.html

You should look at DarkMark. I wrote it specifically to do what you describe. It is an annotation tool that loads the Darknet/YOLO weights, so it can assist in annotating images. I annotate a few images and train, reload DarkMark to annotate some more, train, rinse, lather, repeat.

Disclaimer: I'm the author of DarkHelp (the C++ library for Darknet) and DarkMark (the annotation and project management tool for Darknet).

If using Darknet/YOLO, look up DarkMark which does have support for video, as well as loading existing neural networks to help annotate images (or video frames) faster. Some info on getting started: https://www.ccoderun.ca/programming/darknet\_faq/#how\_to\_get\_started

You can find DarkMark here: https://github.com/stephanecharette/DarkMark

Disclaimer: I'm the author of DarkHelp and DarkMark, and I run the Darknet/YOLO discord.

I use DarkMark's video import functionality to extract video frames. See this screenshot: https://www.ccoderun.ca/darkmark/Summary.html#DarkMarkImportVideoFrames

DarkMark will extract frames from a video (lots of options, either all frames, sequences of frames, random number of frames, png vs jpeg, resize frames, ...) and then will let you annotate them as you normally would. https://github.com/stephanecharette/DarkMark

I'm working on this open-source project. You can use it and I can help you to setup. https://github.com/LayerX-AI/layerx-community

This is exactly missing feature in most tools. We collect so much video and image data, but you don't need all of them for labeling and then training. So data cleaning should happen before labeling. Try https://github.com/LayerX-AI/layerx-community and give us feedback. Data cleaning feature is coming in soon.