@MaximeRivest: There is still so much to do! We know deep learning works, we just need to be a little more sharing and organized! I sp…

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Summary

The author discusses the need for better sharing and organization in deep learning to make it more accessible to biologists for automating tasks like image analysis and measurement.

There is still so much to do! We know deep learning works, we just need to be a little more sharing and organized! I spent a whole summer internship marking and measuring flies 😅 it could be 100% automated, but the stack is still a bit to hard to be accessible to any biologists
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There is still so much to do! We know deep learning works, we just need to be a little more sharing and organized!

I spent a whole summer internship marking and measuring flies 😅 it could be 100% automated, but the stack is still a bit to hard to be accessible to any biologists

lillyguisnet (@lillyguisnet): Heyo Biologists! We need to get together.

I’m seeing more and more published paper with teams presenting their own trained/fine-tuned models for a bunch of image/video tasks. Classification, segmentation, pose estimation, you name it! And that’s great, we’re resourceful! …but

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