Global-Wheat-Detction-Kaggle-2020. For the Kaggle Competition on object detection with same name. 1) models used are DETR, EfficientDet, YOLOv5, RetinaNet, FasterRCNN. 2) Ensemble inference using Weighted Box Fusion 3) Pseudo Learning to deal with smaller labeled datasets. 4) Mixup as an augmentation technique

github.com/jay-chakalasiya/Global-Wheat-Detction-Kaggle-2020

Vaya's read on this project

Problem, audience, market, and the verdict — sign in to see it.

Updates

No recent activity.