datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
RoseNet_leaf_disease_classification
RoseNet Leaf Disease Classification
A dataset for disease classification of rose leaves. The dataset contains raw and augmented versions.The raw dataset contains 917 images.Images per class:
Black Spot: 313
Downy Mildew: 200
Fresh Leaf: 404
The augmented dataset contains 4,342 images.Images per class:
Black Spot: 1,434
Downy mildew: 1,478
Fresh Leaf: 1,430
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/RoseNet_leaf_disease_classification.cars
Car Dataset — Honda Accord & Toyota RAV4
This dataset contains nearly 2,100 images of two main car models: Honda Accord and Toyota RAV4.Each image is accompanied by a JSON annotation file created using Label Studio.
Description
Total images: ~2100
Car models: Honda Accord, Toyota RAV4
Annotations: JSON format (Label Studio export)
Intended use: PyTorch model training
Training setup: 100 consecutive epochs