Project-AgML/early-crop-weed_classification

Early Crop Weed Classification

This dataset contains real-world RGB images capturing early-stage crop and weed plants in agricultural field environments. The images were collected under natural outdoor conditions, providing visual data for distinguishing between different plant species during critical growth phases. The dataset contains 508 images across 4 classes: black_nightsade, cotton, tomato, velvet_leaf .
Images per class:

• black_nightsade: 123
• cotton: 54
• tomato: 201
• velvet_leaf : 130

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

https://github.com/AUAgroup/early-crop-weed

This dataset was reformatted from its original format to match HuggingFace standards.