datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
KITTI-Depth-Estimation3D_Visual_Illusion_Depth_Estimation
3D Visual Illusion Depth Estimation Dataset
Dataset Summary
The 3D Visual Illusion Depth Estimation Dataset is designed for research on stereo and monocular depth estimation in 3D visual illusion scenes.It contains left and right stereo images, depth maps estimated from DepthAnything V2, and illusion-region masks.
Dataset Structure
Each sample in the dataset includes:
left: Left-view RGB image
right: Right-view RGB image
depth: Monocularly estimated depth… See the full description on the dataset page: https://huggingface.co/datasets/AdamYao/3D_Visual_Illusion_Depth_Estimation.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.Nuscenes_depth_estimationForest_Depth_Estimation_by_Frost_Head
Forest Depth Estimation by Frost Head
Overview
The Frost Head Forest Depth Estimation Dataset is a comprehensive collection of synthetic forest images generated using Unreal Engine 5. This dataset is specifically designed for advanced forest depth estimation research and related applications in the field of computer vision and environmental analysis.
Dataset Construction
The Frost Head Forest Depth Estimation Dataset is constructed using advanced rendering… See the full description on the dataset page: https://huggingface.co/datasets/frosthead/Forest_Depth_Estimation_by_Frost_Head.3D_Visual_Illusion_Depth_Estimation_Real
3D Visual Illusion Depth Estimation Dataset Real
Dataset Summary
The 3D Visual Illusion Depth Estimation Dataset Real is designed for research on stereo and monocular depth estimation in 3D visual illusion scenes.It contains left and right stereo images, disparity map, and illusion-region masks.
Dataset Structure
Each sample in the dataset includes:
left: Left-view RGB image
right: Right-view RGB image
depth: Monocularly estimated depth map
mask: Binary… See the full description on the dataset page: https://huggingface.co/datasets/AdamYao/3D_Visual_Illusion_Depth_Estimation_Real.CampusDepth-A-Large-Scale-Day-Night-RGB-Dataset-for-Monocular-Depth-Estimation
Advanced Driver Assistance Systems
(ADAS) require accurate and reliable perception of the
surrounding environment to ensure vehicle safety and
reduce the risk of collisions. Depth estimation plays a
crucial role in understanding object distance and spatial
relationships in traffic scenes. Traditional depth sensing
approaches, such as stereo camera systems and LiDAR,
provide accurate depth information but suffer from high
cost, increased hardware complexity, calibration… See the full description on the dataset page: https://huggingface.co/datasets/Vaibhav14/CampusDepth-A-Large-Scale-Day-Night-RGB-Dataset-for-Monocular-Depth-Estimation.