https://github.com/ikajdan/palmer-amaranth-detection
Detecting Palmer Amaranth in images using YOLOv11
https://github.com/ikajdan/palmer-amaranth-detection
coco mlops python roboflow-dataset yolo yolov11
Last synced: 3 months ago
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Detecting Palmer Amaranth in images using YOLOv11
- Host: GitHub
- URL: https://github.com/ikajdan/palmer-amaranth-detection
- Owner: ikajdan
- Created: 2024-10-15T15:16:42.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2024-10-30T11:21:07.000Z (11 months ago)
- Last Synced: 2025-07-13T11:51:34.581Z (3 months ago)
- Topics: coco, mlops, python, roboflow-dataset, yolo, yolov11
- Language: Jupyter Notebook
- Homepage:
- Size: 3.91 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Palmer Amaranth Detection Using YOLOv11
This repository contains the code for detecting Palmer Amaranth in images using YOLOv11. The code is written in Python and uses the Ultralytics library for training and testing the model.
# Dataset
The [dataset](https://weed-ai.sydney.edu.au/datasets/5c78d067-8750-4803-9cbe-57df8fae55e4) is fetched from Weed-AI. It includes imagery of crops with weeds annotated, and is available in an MS-COCO derived format with standardized agricultural metadata.
To convert the dataset to YOLO format, the `coco2yolo.py` script was used.
The dataset has been re-uploaded to Roboflow for preprocessing and augmentation.
# Training the Model
Weights and Biases is used for tracking the training process.