monocular-depth
Monocular_Depth_Essentials
Monocular_Depth_Essentials
Monocular_Depth_Essentials is a lightweight, curated core dataset tailored specifically for Monocular Depth Estimation tasks.
Following the data preparation guidelines from the classic bts repository , this dataset extracts only the essential image-depth pairs from the massive raw KITTI and NYU Depth V2 datasets based strictly on the official Eigen Split train/test text lists.
If you are benchmarking or reproducing Depth Anything (V1/V2), BTS, or… See the full description on the dataset page: https://huggingface.co/datasets/Kai-Yin-UoA/Monocular_Depth_Essentials.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.Monocular-Depth