datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
mahjong_souls_tiles
Dataset Card for Mahjong Souls Tiles
Dataset Details
Dataset Description
This dataset, pjura/mahjong_souls_tiles, contains images of Mahjong tiles extracted from the game Mahjong Soul. It was created specifically for the purpose of training computer vision models to recognize Mahjong tiles within the game interface.
The dataset was used to fine-tune the google/vit-base-patch16-224-in21k model, resulting in the pjura/mahjong_vision model available on Hugging… See the full description on the dataset page: https://huggingface.co/datasets/pjura/mahjong_souls_tiles.win-tiles-icons
Dataset Details
Dataset Description
The pictures were taken from the Discord server https://discord.gg/VMz3GD4d
Relevance as of 29.11.2024
I tried to classify some parts, but I have clumsy and crooked paws to make a proper classifier for all this.
plism-dataset-tiles
PLISM dataset
The Pathology Images of Scanners and Mobilephones (PLISM) dataset was created by (Ochi et al., 2024) for the evaluation of AI models’ robustness to inter-institutional domain shifts.
All histopathological specimens used in creating the PLISM dataset were sourced from patients who were diagnosed and underwent surgery at the University of Tokyo Hospital between 1955 and 2018.
PLISM-wsi consists in a group of consecutive slides digitized under 7 different scanners and… See the full description on the dataset page: https://huggingface.co/datasets/owkin/plism-dataset-tiles.tilebac-ULDM-tiles
Background
Overview
This dataset contains ultralow-dose cryoEM montage tile images of the bacteria Pantoea sp. YR343. Segmentation models from YOLOv11, YOLO26, U-Net, Detectron2 and SAM3 have been fine-tuned to predict bacterial inner membranes and outer membranes. This bacterial membrane dataset is a benchmark dataset to challenge current AI workflows in rapid, seamless montage stitching and stitched segmentation in extremely noisy ultralow-dose cryoEM images. Bacterial flagella low-dose… See the full description on the dataset page: https://huggingface.co/datasets/LynnMass/tilebac-ULDM-tiles.urban-opengen-tiles-v2
Urban OpenGen tiles v2: sixty cities from OpenStreetMap
Sixty cities on six continents, each a 10 km × 10 km window centred on the core, cut into
a 25 × 25 grid. 625 tiles of 400 m per city, 37,500 in all, of which 30,957 carry built
content; the rest are sea, or ground OpenStreetMap has nothing for. Every tile is
128 × 128 px at 3.125 m per pixel.
Every city was rendered by the same code with the same conventions, which is the whole
point. Opportunistic crops from different… See the full description on the dataset page: https://huggingface.co/datasets/differential-studio/urban-opengen-tiles-v2.tilebac-stitched-montage
Background
Overview
This dataset contains ultralow-dose cryoEM montage tile images of the bacteria Pantoea sp. YR343. Segmentation models from YOLOv11, YOLO26, U-Net, Detectron2 and SAM3 have been fine-tuned to predict bacterial inner membranes and outer membranes. This bacterial membrane dataset is a benchmark dataset to challenge current AI workflows in rapid, seamless montage stitching and stitched segmentation in extremely noisy ultralow-dose cryoEM images. Bacterial flagella low-dose… See the full description on the dataset page: https://huggingface.co/datasets/LynnMass/tilebac-stitched-montage.game-asset-tiles
Game Asset Tiles
This dataset contains 275 samples, each consisting of a tile image, a matching template image and a description.
Tiles were generated with Nano Banana 2 and FLUX.2, or sourced from kenney.nl.
hex / oct / rect describe the footprint shape, flat-top or pointy-top describe the hex shape orientation, and isometric, oblique, or top-down describe the perspective.
Repository layout:
tiles/: PNG tile images
descriptions/: Short English text prompts
coordinates/: JSON point… See the full description on the dataset page: https://huggingface.co/datasets/crafiq/game-asset-tiles.mahjong_tilesdeepfashion
DeepFashion Multimodal Dataset
This dataset contains annotations for shape, fabric, and texture attributes of clothing images.
Metadata
id_to_category:
{
"0": "Sleeve Length",
"1": "Lower Clothing Length",
"2": "Socks",
"3": "Hat",
"4": "Glasses",
"5": "Neckwear",
"6": "Wrist Wearing",
"7": "Ring",
"8": "Waist Accessories",
"9": "Neckline",
"10": "Outer Clothing a Cardigan?",
"11": "Upper Clothing Covering Navel?"
}
category_options:
{… See the full description on the dataset page: https://huggingface.co/datasets/tilak1114/deepfashion.tilebac-flag-dataset
Background
Overview
This dataset contains ultralow-dose cryoEM montage tile images of the bacteria Pantoea sp. YR343. Segmentation models from YOLOv11, YOLO26, U-Net, Detectron2 and SAM3 have been fine-tuned to predict bacterial inner membranes and outer membranes. This bacterial membrane dataset is a benchmark dataset to challenge current AI workflows in rapid, seamless montage stitching and stitched segmentation in extremely noisy ultralow-dose cryoEM images. Bacterial flagella low-dose… See the full description on the dataset page: https://huggingface.co/datasets/LynnMass/tilebac-flag-dataset.219-tiles
Roles
Roles: canon repo — annot is the source label, kept machine-parseable as the gold for verification and reward parsing; there is no filled reasoning column and this repo is not itself a training view. Derived repos each state their own regime on their own card.
219-tiles
Tile-level hot-crack detection in light-microscope images of a weld surface — the trainable view of 219 (512x512 native-resolution tiles; binary masks). ⚠ Microscopy, NOT production-line… See the full description on the dataset page: https://huggingface.co/datasets/AI4Manufacturing/219-tiles.instaroad-rosa-tilesnecklines-attr
Necklines Attribute Dataset
This dataset contains images of different neckline styles categorized by type.
Structure
category: Main category of the neckline
subcategory: Specific type of neckline
image_url: Source URL of the image
image: The actual image data (PNG or JPEG), resized if dimensions exceed 1000px
fashion-pediaAI-Generated-vs-Real-Images-Datasets
Dataset Card for "AI-Generated-vs-Real-Images-Datasets"
More Information needed
tilebac-ULDM-benchmark-dataset
Background
Overview
This dataset contains ultralow-dose cryoEM montage tile images of the bacteria Pantoea sp. YR343. Segmentation models from YOLOv11, YOLO26, U-Net, Detectron2 and SAM3 have been fine-tuned to predict bacterial inner membranes and outer membranes. This bacterial membrane dataset is a benchmark dataset to challenge current AI workflows in rapid, seamless montage stitching and stitched segmentation in extremely noisy ultralow-dose cryoEM images. Bacterial flagella low-dose… See the full description on the dataset page: https://huggingface.co/datasets/LynnMass/tilebac-ULDM-benchmark-dataset.MoulSot-Tokens-v1
MoulSot-Tokens-v1
Discrete speech tokens for Moroccan Darija. 101 hours of transcribed speech,
encoded to a single-codebook neural audio codec and paired with text, ready to
train a text-to-speech model that predicts tokens directly.
Size
Source audio (16 kHz parquet)
~12 GB
This dataset (tokens, text)
153 MB
Same speech, ~78× smaller. At the codec level that is 256 kbps of PCM
reduced to 0.8 kbps — a 320× reduction in bits — since in this case, one second of… See the full description on the dataset page: https://huggingface.co/datasets/Tilas/MoulSot-Tokens-v1.til-ai-2025-cvFloorPlanCADtransforms_2d_base
Transforms-2D Base Dataset
This dataset contains foreground objects and background images used by the Transforms-2D dataset in the paper Understanding the Role of Invariance in Transfer Learning, published at TMLR 2024.
The code for the paper is available here, including the implementation of the Transforms-2D dataset.
The Transforms-2D dataset consists of transformed versions of image objects with transparency masks (from this base dataset), pasted onto background images (also from… See the full description on the dataset page: https://huggingface.co/datasets/tillspeicher/transforms_2d_base.TileColorVQAplism-dataset-tiles-st
Stain-Transferred PLISM Dataset
Dataset Overview
The Stain-Transferred PLISM dataset is a synthetic variant of the PLISM dataset tiles provided by Filiot et al. (2025), which is based on the original PLISM-wsi dataset by Ochi et al. (2024).
This dataset isolates global color-level variations (staining profiles) from localized morphological and scanner-specific hardware artifacts. It is specifically designed to evaluate and robustify computational pathology… See the full description on the dataset page: https://huggingface.co/datasets/klotz11/plism-dataset-tiles-st.Mosaic_tilesTilt_Shift_PhotographyFloorPlanCAD-with-masksnecklines-attribute
Necklines Attribute Dataset
This dataset contains images of different neckline styles categorized by type.
Structure
category: Main category of the neckline
subcategory: Specific type of neckline
image_url: Source URL of the image
image: The actual image data
imnet1k_tile_rooftil26-cvAGL-Tiles-Datasettileforge-s2-dw-demo-v1
TileForge EO: demo
Streaming-ready Sentinel-2 + Dynamic World land-cover patch dataset.
Stats
AOI: demo
Total patches: 15
Splits: train: 15
Patch size: 256 x 256 @ 10 m
Bands (bands_npz): B2, B3, B4, B8 (uint16 surface reflectance)
Label Legend
Class ID
Name
0
Water
1
Trees
2
Grass
3
Flooded Vegetation
4
Crops
5
Shrub / Scrub
6
Built
7
Bare
8
Snow / Ice
255
Ignore (low conf)
Usage
from datasets import… See the full description on the dataset page: https://huggingface.co/datasets/kimcomehome/tileforge-s2-dw-demo-v1.