datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SSL4EO-S12-downstream
SSL4EO-S12-downstream
Welcome to the SSL4EO-S12-downstream dataset. This dataset is used in the Embed2Scale Challenge.
SSL4EO-S12-downstream is a Earth Observation (EO) dataset of downstream tasks. It is released as a standalone dataset together with the NeuCo-Bench neural compression benchmarking framework. Parts of the SSL4EO-S12-downstream dataset was used in the 2025 CVPR EarthVision data challenge and the dev and eval phases of the challenge can be recreated. For instructions… See the full description on the dataset page: https://huggingface.co/datasets/embed2scale/SSL4EO-S12-downstream.hagrid-subset
HaGRID Gesture Recognition Subset
Dataset Description
A curated subset of the HaGRID (Hand Gesture Recognition Image Dataset) containing 24 gesture classes for training gesture recognition models.
Dataset Summary
Total Images: 19,200
Gesture Classes: 24
Samples per Class: 800
Image Format: JPEG
Average Image Size: ~302 KB
Splits
Split
Images
Percentage
Train
14,592
76%
Val
1,728
9%
Test
2,880
15%… See the full description on the dataset page: https://huggingface.co/datasets/s17660101713/hagrid-subset.chess-cv-openboard
OpenBoard Dataset (Piece Classification)
This dataset is a modified and simplified version of the OpenBoard-Dataset by Szustarol.
Dataset Description
This dataset contains images of chess pieces for classification. It is derived from the original OpenBoard-Dataset and has the following modifications:
Purpose: The dataset is intended for training and testing image classification models to recognize chess pieces.
Structure: The images are organized in an ImageFolder… See the full description on the dataset page: https://huggingface.co/datasets/S1M0N38/chess-cv-openboard.chess-cv-chessvision
ChessVision Dataset (Piece Classification)
This dataset is derived from the ChessVision-3LC dataset by Gudbrand Tandberg, adapted for chess piece classification.
Dataset Description
This dataset contains images of chess pieces for classification. It is derived from the original ChessVision-3LC dataset and has the following modifications:
Purpose: The dataset is intended for training and testing image classification models to recognize chess pieces.
Structure: The images… See the full description on the dataset page: https://huggingface.co/datasets/S1M0N38/chess-cv-chessvision.subaps_s1sm_x96_x5
SRSD Sub-Aperture S1SM x96
This dataset is packaged as one tar shard per metadata prefix to keep the file count manageable for Hugging Face Hub uploads.
Layout
shards/<prefix>.tar: archive containing metadata/<prefix>.csv and the matching tensors/*.safetensors files.
shard_index.csv: one row per shard with file counts and byte totals.
Source
Generated from /lustre/scratch/1001/rdelprete/srsd_patches/dataset_sm_subaps_x5.
Notes
Each… See the full description on the dataset page: https://huggingface.co/datasets/juanfra54/subaps_s1sm_x96_x5.subaps_s1sm_x96
SRSD Sub-Aperture S1SM x96
This dataset is packaged as one tar shard per metadata prefix to keep the file count manageable for Hugging Face Hub uploads.
Layout
shards/<prefix>.tar: archive containing metadata/<prefix>.csv and the matching tensors/*.safetensors files.
shard_index.csv: one row per shard with file counts and byte totals.
Notes
Each tar shard groups tensor patches by the same prefix used by its metadata CSV.
Safetensor filenames are preserved… See the full description on the dataset page: https://huggingface.co/datasets/juanfra54/subaps_s1sm_x96.