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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May 30, 2020 - Jupyter Notebook
#
wheat-detection
Here are 8 public repositories matching this topic...
Detecting wheat heads using YOLOv5
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Oct 18, 2021 - Python
Wheat detection using Faster RCNN
computer-vision pytorch faster-rcnn object-detection wbf faster-rcnn-resnet non-maximum-suppression tta test-time-augmentation wheat-detection global-wheat-detection wheat-head-detection
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Sep 17, 2023 - Jupyter Notebook
🌾 Wheat Detection using YOLO11n! 📸 Installs Ultralytics, trains on GlobalWheat2020 dataset, and detects wheat heads with bounding boxes. Includes dataset setup, model training, and inference. 🚀
python machine-learning computer-vision deep-learning image-processing inference yolo matplotlib object-detection model-training dataset-preparation wheat-detection ultralytics yolo11 global-wheat-2020
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Aug 20, 2025 - Jupyter Notebook
This is the training notebook of my EfficienDet solution to the Global Wheat Detection competition on Kaggle.
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Aug 27, 2020 - Jupyter Notebook
Global wheat detection using YOLOv2 in Keras.
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Aug 7, 2020 - Jupyter Notebook
Wheat heads detection using Faster-RCNN in pytorch
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Aug 6, 2020 - Jupyter Notebook
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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Aug 7, 2020 - Jupyter Notebook
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