detecto
Computer Vision Model Builder
A Python package for building and deploying computer vision models with PyTorch
Build fully-functioning computer vision models with PyTorch
614 stars
23 watching
107 forks
Language: Python
last commit: about 2 years agoLinked from 3 awesome lists
computer-visionfaster-rcnnmachine-learningobject-detectionpythonpytorch
Related projects:
| Repository | Description | Stars |
|---|---|---|
| A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 | |
| A PyTorch project for comparing image classification models and facilitating quick experiment setup | 366 | |
| A PyTorch wrapper around Facebook AI Research's Detectron models for object detection and instance segmentation | 557 | |
| This is a PyTorch implementation of the RetinaNet object detection algorithm with Focal Loss optimization. | 997 | |
| An implementation of semantic image synthesis via adversarial learning using PyTorch | 145 | |
| A deep learning library for image segmentation and object detection using PyTorch. | 1,054 | |
| Develops a PyTorch implementation of an enhanced vision language model | 93 | |
| An implementation of reinforcement learning for visual relationship and attribute detection using PyTorch. | 63 | |
| A PyTorch-based computer vision library providing easy-to-use APIs and customizable models for faster training | 51 | |
| An image classification system built using PyTorch, capable of fine-tuning on various models and datasets. | 113 | |
| A Python-based computer vision library for detecting wildfires using deep learning models. | 52 | |
| An implementation of Faster R-CNN detection framework in PyTorch | 1,816 | |
| An implementation of a deep learning model for image segmentation using PyTorch | 868 | |
| Provides a basic framework for training deep learning models on image classification tasks using PyTorch | 187 | |
| Provides a PyTorch implementation of several computer vision tasks including object detection, segmentation and parsing. | 1,191 |