How pratikkayal/plantdoc-dataset works
PlantDoc is a labeled image dataset for plant-disease classification benchmarking, not an executable application. Its principal use is for a researcher or model-training workflow to read labeled images from the training split and evaluate against the test split. The tree shows class-named directories in both splits; README documents the dataset’s classification purpose and scale. No source code is present to establish further processing or model relationships.
Main entry points: train Training images · test Test images
Components 3
Other components
- Dataset user
- Training images
train - Test images
test
Connections 2
- Dataset user → Training images: reads training data
- Dataset user → Test images: reads evaluation data