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.
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Updated
May 30, 2020 - Jupyter Notebook
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.
Wheat heads detection using Faster-RCNN in pytorch
Global wheat detection using YOLOv2 in Keras.
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.
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