DDAD
Depth Estimator Dataset
A collection of data and tools for training algorithms to estimate dense depth in urban environments.
Dense Depth for Autonomous Driving (DDAD) dataset.
497 stars
34 watching
56 forks
Language: Python
last commit: over 4 years ago
Linked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | An implementation of self-supervised monocular depth estimation methods for real-time 3D reconstruction and ego-motion estimation | 1,248 |
| | A PyTorch implementation of a deep neural network architecture for estimating depth from defocus blur images | 118 |
| | This project develops software for depth estimation using defocus blur in images captured by automotive cameras. | 55 |
| | A framework for unsupervised depth and ego-motion estimation from monocular videos using deep learning | 1,977 |
| | An open-source software project providing a comprehensive 3D instruction-following dataset with multi-modal prompts for training large language models. | 58 |
| | A PyTorch implementation of a depth estimation network trained on the Still Box dataset | 119 |
| | Provides MATLAB code and dataset for training machine learning models in millimeter wave and massive MIMO systems | 162 |
| | Calculates floodwater depths from remote sensing data and digital elevation models | 59 |
| | Software that generates gridded water depth estimates from flood inundation data using machine learning and algorithms. | 3 |
| | Estimates object poses and positions in 3D space from RGB images | 1,031 |
| | A large-scale human image dataset with rich annotations for various applications such as image generation, pose estimation, and attribute recognition. | 531 |
| | A deep learning library for Rust with GPU acceleration and ergonomic API. | 1,754 |
| | A deep learning implementation of defocus map estimation using domain adaptation | 124 |
| | Generates synthetic images and associated data for training deep learning models | 574 |
| | A MATLAB project that uses deep learning and stereo cameras to estimate 3D human pose from image data | 43 |