Showing 1-20 of 170 projects
YOLOv5 is a state-of-the-art computer vision model for object detection, segmentation, and classification.
YOLO models for computer vision tasks
Self-hosted, open-source AI alternative to OpenAI with local LLM inference, no GPU required
Reusable computer vision tools for developers
Object detection toolbox for PyTorch with support for multiple tasks and state-of-the-art models.
NVR with AI object detection for IP cameras
Deep learning tutorial for image processing with PyTorch and TensorFlow2
Mask R-CNN for object detection and instance segmentation using Keras and TensorFlow
CVPR 2025 ่ฎบๆๅๅผๆบ้กน็ฎๅ้
An official implementation of the Swin Transformer, a hierarchical vision transformer for image classification and segmentation.
CVAT is an industry-leading data engine for machine learning, trusted by teams for annotating data at scale.
Fast and flexible image augmentation library for computer vision and machine learning projects.
PaddleDetection is an open-source object detection toolkit based on the PaddlePaddle deep learning framework, supporting various computer vision tasks.
Advanced AI Explainability library for computer vision models built with PyTorch.
A comprehensive collection of CVPR conference papers, code, and interpretation resources for computer vision and deep learning enthusiasts.
A comprehensive paper list of object detection using deep learning for computer vision developers.
YOLOv3 is a popular open-source object detection library for computer vision tasks, with support for multiple deployment targets.
Refine high-quality datasets and visual AI models with this Python library for active learning and data curation.
YOLOX is a high-performance anchor-free YOLO model for object detection
Fast and accurate machine learning framework that can build models in just 3 lines of Python code.
Get weekly updates on trending AI coding tools and projects.