datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
TIRAuxCloud
TIRAuxCloud: A Thermal Infrared Dataset for Day and Night Cloud Detection
TIRAuxCloud is a multi-modal dataset designed to support all day cloud segmentation, with a particular focus on thermal infrared (TIR) imagery. It combines multispectral observations from Landsat and VIIRS with auxiliary information such as elevation, land cover, meteorological variables, and cloud-free reference imagery. The dataset includes both automatically generated cloud masks and manually annotated… See the full description on the dataset page: https://huggingface.co/datasets/tirauxcloud/TIRAuxCloud.plantseg-lookalike
PlantSeg Subtle Disease Look-Alike Pairs
A benchmark of 38,239 subtle, visually confusable plant-disease image pairs mined
from PlantSeg v3. Each pair shows two
different diseases on the same crop and the same plant organ whose appearance is
genuinely hard to tell apart — and every single pair is web-verified: it ships a
verbatim "looks-alike" quote from a cited, live source confirming the two diseases are
actually confused in the agronomic literature.
Useful for studying… See the full description on the dataset page: https://huggingface.co/datasets/tirtho149/plantseg-lookalike.Good_TiresSAGE-sample
SAGE — Sample (10 crops preview)
A focused 10-crop sample of the full tirtho149/SAGE dataset. Each (crop, disease) class contributes up to 10 images (fixed seed for reproducibility).
For the full ~280 GB dataset, see tirtho149/SAGE.
Crops included
Crop
Disease classes
Images
Apple
36
209
Corn
86
679
Cotton
14
74
Mango
9
55
Potato
37
306
Rice
39
261
Soybean
58
498
Sugarcane
17
170
Tomato
48
365
Wheat
53
374
TOTAL
1,848… See the full description on the dataset page: https://huggingface.co/datasets/tirtho149/SAGE-sample.Defective_Tires