datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
chicago-grantpark-photogrammetry
Chicago / Grant Park — Aerial Photogrammetry + Terrestrial Laser Dataset
2,751 aerial photos (45.0 GB) plus the terrestrial laser scans (9.3 GB, 43 stations) over
Grant Park and downtown Chicago, June 2020. CC BY 4.0.
⬇ Download
→ huggingface.co/datasets/Matt1up/chicago-grantpark-photogrammetry
Browse the Files tab and take what you want — no account needed. The 54 GB of imagery and
laser scans lives there because GitHub won't host files that size;… See the full description on the dataset page: https://huggingface.co/datasets/Matt1up/chicago-grantpark-photogrammetry.tree-minnetonka-photogrammetry
Single Tree — High-Density Photogrammetry Dataset
812 photos of one mature deciduous tree, flown from 0.5 to 7.9 m above the ground. 15.1 GB.
807 align, and the solved camera poses ship with it in COLMAP format — point a Gaussian
splatting pipeline straight at it, no structure-from-motion run required. CC BY 4.0.
⬇ Download
→ huggingface.co/datasets/Matt1up/tree-minnetonka-photogrammetry
Browse the Files tab and take what you want — no account… See the full description on the dataset page: https://huggingface.co/datasets/Matt1up/tree-minnetonka-photogrammetry.825F-photogrammetryphotosets, used to create models for 825F I ll create annotation after 825F release
photogrammetry_dataset_v1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 3,
"total_frames": 513,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:3"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/arjunsinghyadav2/photogrammetry_dataset_v1.aerial-drone-photogrammetry-samples
AerialDataset — Multi-View Drone Imagery and 3D Scene Samples
This repository contains a curated evaluation sample from AerialDataset, a commercial catalog of real-world drone imagery and associated reconstructed spatial data.
AerialDataset is designed for organizations working with AI, computer vision, geospatial intelligence, 3D reconstruction, robotics, and spatial computing that need real-world aerial scenes rather than isolated stock imagery.
What the sample… See the full description on the dataset page: https://huggingface.co/datasets/avenian/aerial-drone-photogrammetry-samples.photogrammetry