Image Classification
ultralytics
LiteRT
Bengali
English
yolo26-cls
agriculture
bangladesh
crop-disease
yolo26
on-device
brassica
chashibhai
Instructions to use Shaq2/chashibhai-brassica-disease-cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Shaq2/chashibhai-brassica-disease-cls with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("Shaq2/chashibhai-brassica-disease-cls") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
| cff-version: 1.2.0 | |
| title: "ChashiBhAI Brassica Disease Classifier" | |
| message: If you use this model, please cite it. | |
| type: software | |
| authors: | |
| - family-names: Ahmed | |
| given-names: Shakil | |
| alias: Shaq2 | |
| repository-code: https://github.com/MRSHAKILS/AI-Powered-Smart-Agriculture-Advisory-Platform-for-Bangladesh | |
| url: https://huggingface.co/Shaq2/chashibhai-brassica-disease-cls | |
| license: MIT | |
| version: "0.1.0" | |
| date-released: "2026-08-16" | |