ai-agriculture-circuits-and-systems/blackgram_plant_leaf_disease_classification

A dataset of blackgram (Vigna mungo) plant leaf images for disease classification, collected and organized for computer vision and deep learning research in agricultural applications. This dataset follows the standardized dataset structure specification. # Blackgram Plant Leaf Disease Classification Dataset A dataset of blackgram (Vigna mungo) plant leaf images for disease classification, collected and organized for computer vision and deep learning research in agricultural applications. This dataset follows the standardized dataset structure specification. - **Project page**: `data.mendeley.com` - **Dataset repository**: `github.com` ## TL;DR - **Task**: Classification (with full-image bounding boxes) - **Modality**: RGB - **Platform**: Ground (handheld/field) - **Real/Synthetic**: Real - **Images**: 1,007 images across 5 disease/health categories - **Classes**: 5 classes (healthy, anthracnose, leaf_crinckle, powdery_mildew, yellow_mosaic) - **Resolution**: 512×512 pixels - **Annotations**: Per-image CSV and JSON; COCO format available - **License**: CC BY 4.0 (see License) - **Citation**: see below ## Table of Contents - Download - Dataset Structure - Sample Images - Annotation Schema - Stats and Splits - Quick Start - Evaluation and Baselines - Datasheet (Data Card) - Known Issues and Caveats - License - Citation - Changelog - Contact ## Download **Original dataset**: `data.mendeley.com` This repo hosts structure and conversion scripts only; place the downloaded folders under this directory. **Local license file**: See `LICENSE` in the root directory (Creative Commons Attribution 4.0 International). **Alternative sources**: Data hosted on Mendeley Data. ## Dataset Structure This dataset follows the standardized dataset structure specification: ``` blackgram_plant_leaf_disease_classification/ ├── blackgrams/ # Main category …