`plant_doc_detection`

Dataset Metadata

Metadata	Value
Classes	Corn leaf blight, Tomato Early blight leaf, Potato leaf early blight, Potato leaf late blight, Blueberry leaf, grape leaf black rot, Bell_pepper leaf spot, Cherry leaf, Peach leaf, Soyabean leaf, Strawberry leaf, Apple Scab Leaf, Corn rust leaf, Apple leaf, Corn Gray leaf spot, Tomato leaf mosaic virus, Tomato mold leaf, Tomato leaf yellow virus, Tomato leaf bacterial spot, Tomato leaf late blight, Squash Powdery mildew leaf, Bell_pepper leaf, grape leaf, Apple rust leaf, Tomato Septoria leaf spot, Tomato leaf, Raspberry leaf, Potato leaf, Tomato two spotted spider mites leaf
Machine Learning Task	object_detection
Agricultural Task	disease_classification
Location	Worldwide
Sensor Modality	RGB
Real or Synthetic	real
Platform	ground
Input Data Format	JPG
Annotation Format	coco_json
Number of Images	2598
Documentation	https://github.com/pratikkayal/PlantDoc-Object-Detection-Dataset
Stats/Mean	[0.482, 0.55, 0.383]
Stats/Standard Deviation	[0.212, 0.204, 0.22]