datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
japanese-aerial-fireworks-v2
🎆 NEW: Curated 1,000 Wide Pack (Commercial License)
For commercial AI/ML training, check out the Hanabi AI Dataset v1: Wide Pack — Curated 1,000 — a carefully selected subset with detailed structured annotations:
✅ 1,000 hand-curated 4K images (vs 2,557 raw images here)
✅ Structured AI annotations (composition, mood, color, EXIF, English notes)
✅ Sample PyTorch loader, attribute filter, caption generator
✅ Perpetual Commercial License (Japanese law)
✅ Optimized for Stable… See the full description on the dataset page: https://huggingface.co/datasets/dfhjs2577/japanese-aerial-fireworks-v2.temporal-aerial-cityline-construction-sample
CityLine — Temporal Aerial Construction Dataset (Sample)
Temporal Aerial Vision · Construction Progress · Multiview Geometry · San Jose, CA
CityLine is a multi-year aerial imagery sequence captured from a helicopter during the construction of a major mixed-use development in San Jose, California.This sample highlights multiple construction phases over time, with several oblique views per capture date.
The full (commercial) dataset contains hundreds of high-resolution images with… See the full description on the dataset page: https://huggingface.co/datasets/SharpShots/temporal-aerial-cityline-construction-sample.waikato_aerial_2017_synthetic_v2
Waikato Aerial Imagery 2017 Synthetic Data v2
This is a synthetic dataset generated using a sample taken from the original classification dataset residing at https://datasets.cms.waikato.ac.nz/taiao/waikato_aerial_imagery_2017/. You can find additional dataset information using the provided URL. This version (v2) has been generated using slightly altered prompts compared to v1.
Generation Params
Inference Steps: 60Images generated per prompt: 50 (1000 images per… See the full description on the dataset page: https://huggingface.co/datasets/dinushiTJ/waikato_aerial_2017_synthetic_v2.waikato_aerial_imagery_2017This is a re-upload of the original classification dataset residing at https://datasets.cms.waikato.ac.nz/taiao/waikato_aerial_imagery_2017/ under the same license. You can find additional dataset information using the provided URL.
waikato_aerial_2017_synthetic_v1
Waikato Aerial Imagery 2017 Synthetic Data v1
This is a synthetic dataset generated using a sample taken from the original classification dataset residing at https://datasets.cms.waikato.ac.nz/taiao/waikato_aerial_imagery_2017/. You can find additional dataset information using the provided URL.
Generation Params
Inference Steps: 60Images generated per prompt: 50 (1000 images per class since there are 20 prompts for each class)
CMMD (CLIP Maximum Mean… See the full description on the dataset page: https://huggingface.co/datasets/dinushiTJ/waikato_aerial_2017_synthetic_v1.waikato_aerial_2017_synthetic_best_fidwaikato_aerial_2017_synthetic_best_cmmdwaikato_aerial_2017_synthetic_v0
Waikato Aerial Imagery 2017 Synthetic Data v0
This is a synthetic dataset generated using a sample taken from the original classification dataset residing at https://datasets.cms.waikato.ac.nz/taiao/waikato_aerial_imagery_2017/. You can find additional dataset information using the provided URL.
Generation Params
Inference Steps: 30Images generated per prompt: 50 (1000 images per class since there are 20 prompts for each class)
CMMD (CLIP Maximum Mean… See the full description on the dataset page: https://huggingface.co/datasets/dinushiTJ/waikato_aerial_2017_synthetic_v0.