Wadhwani AI Bollworm Counting Challenge
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Helping India
€15 000 EUR
Completed (almost 4 years ago)
Object Detection
Computer Vision
845 joined
145 active
Start
23 Sep 22
Close
04 Dec 22
Reveal
04 Dec 22
2nd Place Solution
Platform · 5 Dec 2022, 15:13 · 10
Nothing special , just a yolov5l6 trained for 25 epoch with image size 1536. I split folds by mskf
Part 2 i used a classifier which detects Images with no bollworms , helps reduce False positive.
I used Optuna to obtain the best values for Soft NMS(Special Thanks to @ZFTurbo for his ensemble boxes lib) and thresholds for classifier and yolov5l6.
I used A100 and A6000 for compute
Congratulations for the great performance. Would you be opening your code as well? I would love to look at Optuna part.
I will do in a short time
https://github.com/king398/PestDetectFinal my code
Congratulations with your 2nd! May I ask you that your classifier help you boost your CV? And how much? Thanks you
Yes , classifier helped me boost my cv by a small margin
25 epochs, seems that that took a long time to train?
6 minutes with an a100 per epoch
My solution is quite similar to yours, except for optuna part. :)
Congratulations on a great win, it is impressive. Thanks for the recognition of @ZFTurbo.
Looking Forward to your solution