Relative_Human
Human dataset toolbox
Provides a toolbox for loading, visualizing, and evaluating a dataset of images with human annotations, including depth layers and age group classification.
Relative Human dataset, CVPR 2022
140 stars
2 watching
1 forks
Language: Python
last commit: about 2 years ago
Linked from 1 awesome list
depthhumanmonocular
Related projects:
Repository | Description | Stars |
---|---|---|
| Provides images of human faces with annotated age, gender, pose, and other attributes for testing age transformation algorithms. | 262 |
| A large-scale human image dataset with rich annotations for various applications such as image generation, pose estimation, and attribute recognition. | 531 |
| A large-scale benchmark and dataset for whole-body pose estimation in images | 770 |
| Provides a modular framework and tools for working with 3D human parametric models in computer vision and graphics | 1,253 |
| A large dataset of human matting images and corresponding results for training person segmentation models. | 615 |
| Provides pre-trained deep learning models for scene classification on the Places365 dataset | 1,935 |
| A collection of data for evaluating Chinese machine reading comprehension systems | 419 |
| An R dataset package providing simplified and raw data for ecological research | 909 |
| A collection of algorithms and tools for building classifiers in various machine learning applications. | 85 |
| Provides test data and models for training Optical Character Recognition (OCR) systems on historical printed books. | 10 |
| A repository providing annotations and tools for training machine learning models to analyze human body representations in 2D images. | 42 |
| A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
| This repository provides software tools and pre-trained models for estimating 3D human shape and pose from dense body parts | 233 |
| Provides pre-trained face detection and analysis models using large-scale image-text data | 281 |
| Detects humans and estimates their poses in images using a machine learning model based on OpenPose | 65 |