datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
smoking_classificationFire-and-Smoke-Dataset
Fire and Smoke Detection Dataset — Sample
⚠️ This is a free sample subset for evaluation purposes only.The full dataset (~10,000+ annotated images, multiple formats) is available for commercial licensing.Contact: sales@datacluster.ai · datacluster.ai
Dataset Summary
This dataset contains real-world images of fire and smoke scenarios, captured on mobile phones under diverse conditions. It is well-suited for training early fire and smoke detection models used in… See the full description on the dataset page: https://huggingface.co/datasets/Dataclusterlabspvtltd/Fire-and-Smoke-Dataset.HSRP_classification_data
HSRP Classification Dataset
Description
Dataset created for the Smart-HSRP project to train an image
classification model for HSRP-related classification.
Ownership
This dataset was collected, prepared, and annotated for this project.
Classes
HSRP
0
NON-HSRP
1
Dataset Structure
train/
├──hsrp/
└──non-hsrp/
validation/
├──hsrp/
└──non-hsrp/
test/
├──hsrp/
└──non-hsrp/
Collection
All the… See the full description on the dataset page: https://huggingface.co/datasets/Smolry/HSRP_classification_data.smokedatasetImages collected using Wild Sage Nodes to detect wild fires.robot-fixture-insertion-cosmos-smoke-20260427
robot_fixture_insertion Cosmos Success Dataset
Binary yes/no visual success-classification dataset for Cosmos-Reason fine-tuning.
Task
Classify whether the robot successfully inserted the black plastic fixture piece into the matching slot from a single close-up RGB image.
Success Definition
The black plastic piece is seated in the matching slot in the intended final pose; failed insertions include unseated, misaligned, partial, or visibly unsuccessful insertion… See the full description on the dataset page: https://huggingface.co/datasets/LarsJohaNV/robot-fixture-insertion-cosmos-smoke-20260427.mai-smoke
MAI real-photo versus generated-image atlas v2 pilot
A paired pilot in which pinned public-domain real photographs are deterministically captioned and rendered by every generator family.
This repository is produced by the MAI provenance-first dataset pipeline.
Normalized images and their typed metadata are embedded in Parquet; byte-identical
originals, provenance receipts, checksums, generator settings, and
semantic-group relationships are retained for audit.
Dataset-specific… See the full description on the dataset page: https://huggingface.co/datasets/kennethnym/mai-smoke.my_smolvla123456789smoke10
smoke10 — LibreYOLO classification smoke set
A tiny 2-images-per-class subset of Imagenette (Apache-2.0) for fast CI /
end-to-end smoke tests of the classification train/val loop. Not for accuracy
evaluation.
Provenance
Derived from fast.ai Imagenette (Apache-2.0), source imagenette2-160.tgz
sha256 64d0c4859f35a461889e0147755a999a48b49bf38a7e0f9bd27003f10db02fe5.
2 train + 2 val images per class, 10 classes, ImageFolder train/val/<wnid> layout.
Replaces the… See the full description on the dataset page: https://huggingface.co/datasets/LibreYOLO/smoke10.nectar-pr-smoke-cls-mnist-ds
nectar-pr-smoke-cls-mnist-ds
Image classification dataset.
Splits
test: 80 images
train: 80 images
Classes
0, 1, 2, 3, 4, 5, 6, 7, 8, 9