datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CatanSynth-Meridian-v1-50K
CatanSynth Meridian v1 (50k)
50,000 procedurally-generated synthetic images of Settlers of Catan boards, labeled for YOLO pose/keypoint estimation of the hexagonal terrain tiles. Generated by the catan-in-silico synthetic data engine, which composites terrain/token/road/settlement/city/robber assets over randomized table backgrounds with camera-style augmentations (lighting, perspective, blur, noise).
Task
Single-class keypoint detection: every hexagonal terrain… See the full description on the dataset page: https://huggingface.co/datasets/nithinmanoj10/CatanSynth-Meridian-v1-50K.Cat_and_Dog
Dataset Summary
A dataset from kaggle with duplicate data removed.
Data Fields
The data instances have the following fields:
image: A PIL.Image.Image object containing the image. Note that when accessing the image column: dataset[0]["image"] the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"]… See the full description on the dataset page: https://huggingface.co/datasets/Bingsu/Cat_and_Dog.CatanSynth-Terrain-v1-50K
CatanSynth Terrain v1 (50K)
Procedurally-generated synthetic patches of individual Settlers of Catan hexagonal terrain tiles, each pre-rectified to a top-down 224×224 crop and labeled with terrain type and resource number token. Generated by the same catan-in-silico synthetic data engine as CatanSynth Meridian v1 (50k), but composed of pre-cropped single-tile patches rather than full board images. Used to train CataNET-Terrain-v1.0-Small and CataNET-Terrain-v1.0-Large, the… See the full description on the dataset page: https://huggingface.co/datasets/nithinmanoj10/CatanSynth-Terrain-v1-50K.Cat-and-dogcatanddogcat_and_dogCat_and_Dog
Dataset Summary
A dataset from kaggle with duplicate data removed.
Data Fields
The data instances have the following fields:
image: A PIL.Image.Image object containing the image. Note that when accessing the image column: dataset[0]["image"] the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"]… See the full description on the dataset page: https://huggingface.co/datasets/aronvictoria/Cat_and_Dog.cat_and_dogcat_and_dog_text_to_text_image