datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
EventHubDatasetbartenderkaminoglass
Bangumi Image Base of Bartender: Kami No Glass
This is the image base of bangumi Bartender: Kami no Glass, we detected 26 characters, 3350 images in total. The full dataset is here.
Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability).… See the full description on the dataset page: https://huggingface.co/datasets/BangumiBase/bartenderkaminoglass.SynGallery-1024
SynGallery-1024: A Synthetic Gallery of Real Paintings for Instance-Level Artwork Recognition
The 1024×1024 high-resolution edition of
patryk-bartkowiak/SynGallery.
A synthetic dataset for instance-level artwork recognition: 4,898 real
paintings (MET Open Access) hung in a procedurally randomized 3D art-gallery
scene, each rendered from 5 camera viewpoints at 1024×1024 — 24,490
synthetic RGB images paired with their source photos and museum metadata
(title, artist, date, medium… See the full description on the dataset page: https://huggingface.co/datasets/patryk-bartkowiak/SynGallery-1024.SynGallery
SynGallery: A Synthetic Gallery of Real Paintings for Instance-Level Artwork Recognition
A synthetic dataset for instance-level artwork recognition: 4,898 real
paintings (MET Open Access) hung in a procedurally randomized 3D art-gallery
scene, each rendered from 5 camera viewpoints at 512×512 — 24,490
synthetic RGB images paired with their source photos and museum metadata
(title, artist, date, medium, …). The environment is randomized per scene — wall/floor/roof textures… See the full description on the dataset page: https://huggingface.co/datasets/patryk-bartkowiak/SynGallery.SynGallery-abl1-tex
SynGallery-abl1-tex: + texture variety
Rung 1 of the SynGallery instance-level artwork-recognition ablation ladder. 4,898 MET paintings × 5 camera viewpoints = 24,490 synthetic RGB images at 512×512, paired with their source photos and museum metadata.
In this rung, the scene varies wall/floor/roof textures + floor material (on top of the baseline), while freezing lighting, glass, frame variant/color, camera pose. Same schema, source images and index↔painting mapping as every… See the full description on the dataset page: https://huggingface.co/datasets/patryk-bartkowiak/SynGallery-abl1-tex.SynGallery-abl4-tex-light-glass-frame
SynGallery-abl4-tex-light-glass-frame: + frame variety
Rung 4 of the SynGallery instance-level artwork-recognition ablation ladder. 4,898 MET paintings × 5 camera viewpoints = 24,490 synthetic RGB images at 512×512, paired with their source photos and museum metadata.
In this rung, the scene varies textures, lighting, glass and frame molding variant + color/roughness/metallic, while freezing camera pose (the only frozen factor). Same schema, source images and index↔painting… See the full description on the dataset page: https://huggingface.co/datasets/patryk-bartkowiak/SynGallery-abl4-tex-light-glass-frame.SynGallery-abl3-tex-light-glass
SynGallery-abl3-tex-light-glass: + glass
Rung 3 of the SynGallery instance-level artwork-recognition ablation ladder. 4,898 MET paintings × 5 camera viewpoints = 24,490 synthetic RGB images at 512×512, paired with their source photos and museum metadata.
In this rung, the scene varies textures, lighting and a glass sheet present with probability 0.25, while freezing frame variant/color, camera pose. Same schema, source images and index↔painting mapping as every other rung — they… See the full description on the dataset page: https://huggingface.co/datasets/patryk-bartkowiak/SynGallery-abl3-tex-light-glass.SynGallery-abl0
SynGallery-abl0: fixed-environment baseline
Rung 0 of the SynGallery instance-level artwork-recognition ablation ladder. 4,898 MET paintings × 5 camera viewpoints = 24,490 synthetic RGB images at 512×512, paired with their source photos and museum metadata.
In this rung, the scene varies nothing — the gallery is one fixed configuration for all 24,490 images, while freezing wall/floor/roof textures + floor material, lighting, glass, frame variant/color, camera pose. Same schema… See the full description on the dataset page: https://huggingface.co/datasets/patryk-bartkowiak/SynGallery-abl0.SynGallery-abl2-tex-light
SynGallery-abl2-tex-light: + lighting variety
Rung 2 of the SynGallery instance-level artwork-recognition ablation ladder. 4,898 MET paintings × 5 camera viewpoints = 24,490 synthetic RGB images at 512×512, paired with their source photos and museum metadata.
In this rung, the scene varies textures and lighting (area-light shape/spread + instanced ceiling lights), while freezing glass, frame variant/color, camera pose. Same schema, source images and index↔painting mapping as… See the full description on the dataset page: https://huggingface.co/datasets/patryk-bartkowiak/SynGallery-abl2-tex-light.processed-m3edBartaLens
BartaLens: Bengali Multimodal News Corpus
Overview
BartaLens (বার্তা + Lens) is a large-scale multimodal Bengali news corpus pairing articles with their associated news images. It is designed for training and evaluating vision-language models on Bengali headline generation.
Key features:
1.2M+ articles with associated news images
Three splits (train / validation / test) for reproducible evaluation
Multimodal — each article paired with its news… See the full description on the dataset page: https://huggingface.co/datasets/dipta007/BartaLens.bartekEudes_carvalho_modelo_de-vozwikiart-artist-bartolome-esteban-murillofashion_image_caption-100-v2
Dataset Card for "fashion_image_caption-100-v2"
More Information needed
somecotest_first_testBART-track-data