eccv
Datasets
All datasets matching “eccv”eccv2026-cad-challenge-data
ECCV 2026 CAD Challenge Data
This challenge is part of the workshop The Path to Manufacturing: Evolving
3D Generation to Intelligent Computer-Aided Design.
Workshop homepage: https://3dgen-cad-workshop.github.io/
Challenge submission Space: https://huggingface.co/spaces/jingwei-xu-00/eccv2026-cad-challenge
Dataset rendering and preparation code (only .step files are required): https://github.com/DavidXu-JJ/eccv2026-cad-challenge-data-render
This repository contains the public… See the full description on the dataset page: https://huggingface.co/datasets/jingwei-xu-00/eccv2026-cad-challenge-data.ECCV_Event_Video_Depth_Estimation
Event-Guided Video Depth Estimation Workshop Dataset
This dataset is a mirrored and aligned workshop-ready version of the DVD event-guided video depth estimation data.
It packages each scene into a canonical folder tree that aligns:
low-light RGB frames
per-frame event slices
a scene-level lowlight_event.npz
the matched depth ground truth copied from inference_results/*/normal/depth.npz
The dataset is designed for direct upload to Hugging Face as a dataset repository.
The official… See the full description on the dataset page: https://huggingface.co/datasets/Ethanliang99/ECCV_Event_Video_Depth_Estimation.AerialMetric-ECCV2026
AerialMetric-ECCV2026
This repository is the main dataset hub for the paper AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World.
It includes more than 65k aerial image-depth pairs, and all depth maps are metric.
Project homepage: https://kuieless.github.io/AerialMetric-ECCV2026-page/
Repository: https://github.com/kuieless/AerialMetric-ECCV2026
It contains the training data, test data, and the moge2-aerial weights used by the… See the full description on the dataset page: https://huggingface.co/datasets/Kuiee/AerialMetric-ECCV2026.SYNTOM
SYNTOM: Synthetic Tomato Greenhouse Segmentation
77,217 photorealistic renders of greenhouse tomato plants (68,328 train / 8,889 val,
1920x1080) with pixel perfect ground truth for two tasks:
Semantic segmentation: 4 organ classes plus background, single channel PNG masks
Instance segmentation: whole plant instances in COCO format
Released with Text-conditioned Segmentation for Tomato Phenotyping via Procedural
Synthetic Data, where it is used to fine-tune SAM 3
for… See the full description on the dataset page: https://huggingface.co/datasets/ECCV26-Tomato-Phenotyping/SYNTOM.eccv2026-cad-challenge-data
ECCV 2026 CAD Challenge Data
This challenge is part of the workshop The Path to Manufacturing: Evolving
3D Generation to Intelligent Computer-Aided Design.
Workshop homepage: https://3dgen-cad-workshop.github.io/
Challenge submission Space: https://huggingface.co/spaces/jingwei-xu-00/eccv2026-cad-challenge
This repository contains the public data package for the challenge. The
evaluation Space accepts STEP predictions for the private evaluation split and
updates the leaderboard… See the full description on the dataset page: https://huggingface.co/datasets/Qiao123rvvr/eccv2026-cad-challenge-data.EgoDyn-Bench-ECCV2026
EgoDyn-Bench
A physics-grounded VQA benchmark for evaluating Vision-Language Models on trajectory-based dynamics reasoning in autonomous driving.
Project page | Paper | GitHub
This repository contains the data artifacts for the benchmark. The evaluation harness, baselines, and reference implementations live in the companion GitHub repository.
Note on licensing. The nuScenes-derived portion of this dataset is released under CC BY-NC-SA 4.0 to comply with nuScenes' upstream… See the full description on the dataset page: https://huggingface.co/datasets/TUM-AVS/EgoDyn-Bench-ECCV2026.