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Showcases the use of deep learning to detect wheat heads from crops. The project is based on: https://www.kaggle.com/c/global-wheat-detection.
Wheat detection using Faster RCNN
Detecting wheat heads using YOLOv5
Wheat Head Detection 문제를 Faster RCNN으로 풀어본 문제이다.
This is the training notebook of my EfficienDet solution to the Global Wheat Detection competition on Kaggle.
This is a hybrid variety of detection models which is inspired from bothe centrenet and EfficientDet. This model is as fast as centrenet and much accurate due to the fusion blocks.
Global wheat detection using YOLOv2 in Keras.
Wheat heads detection using Faster-RCNN in pytorch