Ghana Crop Disease Detection Challenge
Helping Ghana
$8 000 USD
Completed (over 1 year ago)
Computer Vision
Object Detection
2205 joined
344 active
Start
Oct 04, 24
Close
Dec 15, 24
Reveal
Dec 15, 24
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5th Place Solution
Notebooks · 17 Dec 2024, 16:20 · 6
https://github.com/kiminya-raphael/Ghana-Crop-Disease-Detection-challenge
Summary:
- Train good baseline model
- CV, OOF predictions
- Augment high scoring images
- Balanced data loader
- TTA inference
Great Job done! I really appreciate you sharing your notebook. Definitely deserves a star and an upvote!
Very clean solution. Thanks for sharing. Impressive that you got such high mAP scores in training with yolo11s.
Agreed, I was surprised by the in-training mAP too.
I was also using yolo11s but my mAP was close to 0.5xx
The in training mAP scores in the logs are misleading. I decided to train a single model on the complete dataset for the final submission instead of CV > ensemble. Actual CV score without the validation data leak is < 0.5.
and how to do it with only 2 subs 😅
the level of mastery I wanna achieve!,,
congratulations Raphael👏
great . Raphael. Thanks for sharing