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.
-
Updated
May 30, 2020 - Jupyter Notebook
#
wheat-detection
Here are 8 public repositories matching this topic...
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
-
Updated
Sep 17, 2023 - Jupyter Notebook
Detecting wheat heads using YOLOv5
-
Updated
Oct 18, 2021 - Python
Wheat Head Detection 문제를 Faster RCNN으로 풀어본 문제이다.
-
Updated
Feb 4, 2022 - Python
This is the training notebook of my EfficienDet solution to the Global Wheat Detection competition on Kaggle.
-
Updated
Aug 27, 2020 - Jupyter Notebook
Wheat heads detection using Faster-RCNN in pytorch
-
Updated
Aug 6, 2020 - Jupyter Notebook
Global wheat detection using YOLOv2 in Keras.
-
Updated
Aug 7, 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.
-
Updated
Aug 7, 2020 - Jupyter Notebook
Improve this page
Add a description, image, and links to the wheat-detection topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the wheat-detection topic, visit your repo's landing page and select "manage topics."