datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
marine-animals-multimodal-dataset
Marine Animals Multimodal Dataset 🐋
A comprehensive multimodal dataset combining audio recordings and images of 32 marine species.
Dataset Summary
Total samples: 24,911
Species: 32
Audio files: 1,357 unique recordings
Images: 581 (309 matched + 272 from iNaturalist)
Features
species (string): Species name
label (int32): Numeric label (0–31)
audio (Audio): Audio recording of the species
image (Image): Species image
image_index (int32): Image number… See the full description on the dataset page: https://huggingface.co/datasets/Hariprasath5128/marine-animals-multimodal-dataset.Animalsopenart-animals
OpenArt — Animals & the Natural World
openart-animals is the animals subject collection of the OpenArt family
of open, public-domain art datasets: 31,511 works (15,920 paintings/illustrations · 15,407
photographed objects · 184 unclassified), each paired with a structured VLM caption plus
medium, attribution and inscription metadata.
Fauna and the natural world across every medium — birds, beasts, fish and insects painted and drawn, but also carved, cast, glazed and woven into… See the full description on the dataset page: https://huggingface.co/datasets/jaddai/openart-animals.AnimalSnaps-Labeled
AnimalSnaps-Labeled
Collection Protocol
Images were collected by volunteers using mobile phones in public parks between March and May 2025. Each image was independently labeled by two annotators; disagreements were resolved by a senior annotator. Blurry or duplicate images were discarded before labeling.
Label Distribution
Label
Count
Percentage
cat
30
37.5%
dog
25
31.2%
bird
15
18.8%
fox
10
12.5%
AnimalSnaps-Labeled
AnimalSnaps-Labeled
Collection Protocol
Images were collected by volunteers using mobile phones in public parks between March and May 2025. Each image was independently labeled by two annotators; disagreements were resolved by a senior annotator. Blurry or duplicate images were discarded before labeling.
Label Distribution
Label
Count
Percentage
cat
30
37.5%
dog
25
31.2%
bird
15
18.8%
fox
10
12.5%
golden-data-animals
Golden Data: Washin Animal Village
1554 high-quality animal images.