pedropro / TACO

🌮 Trash Annotations in Context Dataset Toolkit

Home Page:http://tacodataset.org

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Please provide also unlabelled data

doduythao opened this issue · comments

Hi @pedropro
I'm working on semi-supervised and weakly-supervised learning for object detection and I found your dataset perfectly suits my new idea in methodology.
I tried your github repo and it turns out that download.py only downloads fully annotated images and no unlabelled attached or anyway to have them downloaded on my local.
You might already know semi-supervised learning also leverages the unlabelled images with the similar distribution (environment) so I really need them. I think this also opens a gate for machine-human cooperation when ML creates mid-quality annotations and humans need to double check and correct a little bit which boosts the annotation process.
Hope you can share it. Thank you very much.

Solved. Duplicate of #13