Project-AgML/

greenhouse_crop_weed_classification

A dataset for classification of crops and weeds in a greenhouse setting. The dataset contains 28,000 images across 14 classes:Images per class:

Blackbean: 2,000 Canola: 2,000 Corn: 2,000 Field Pea: 2,000 Flax: 2,000 Horseweed: 2,000 Kochia: 2,000 Lentil: 2,000 Palmer Amaranth: 2,000 Ragweed: 2,000 Redroot Pigweed: 2,000 Soybean: 2,000 Sugar beet: 2,000 Waterhemp: 2,000

This dataset is indexed on https://project-agml.github.io/ as part of the… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/greenhouse_crop_weed_classification.