datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Mining-Analysis
Mining-Analysis Dataset
A research dataset for error analysis of satellite land-use classifiers, with model predictions, ground truth, RGB imagery, raw spectral bands, and per-month cloud masks. Used in a study of how cloud occlusion affects model predictions of West African land cover (mining, oil palm, rubber).
Background
We use satellite images to detect land-use changes in West Africa — specifically mining sites, oil palm plantations, and rubber plantations.… See the full description on the dataset page: https://huggingface.co/datasets/mqraitem/Mining-Analysis.sentinel-lfm-mining-patches
sentinel-lfm — illegal-mining single-frame patches
128px RGB patches cropped from the Roboflow illegal-mining dataset, labelled
mine (1) / no-mine (0). Split by source image (no leakage) into
train/val/test. Provided as PNGs + vlm_sft-format JSONL (one image + prompt
-> JSON answer) so it drops straight into VLM fine-tuning.
split
pos
neg
total
train
1410
555
1965
val
303
66
369
test
303
116
419
RGB only (no multispectral). Each JSONL row is a single-turn VLM… See the full description on the dataset page: https://huggingface.co/datasets/ASTRALK/sentinel-lfm-mining-patches.africa-synth-mining-silicosis-all
Mining Communities & Silicosis (SSA) | Africa (Electric Sheep Africa metadata inventory)
Size category: 10K<n<100K - Formats: csv - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Health datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-mining-silicosis-all.cardb
CarDB
This dataset, comes from https://pages.cs.wisc.edu/~yongjaelee/projects/style_iccv2013.pdf
If you use it please cite:
@article{lee2016discovering,
title={Style-aware Mid-level Representation for Discovering Visual Connections in Space and Time},
author={Lee, Yong Jae and Efros, Alexei A and Hebert, Martial},
journal={ICCV},
year={2013},
}