Showing 61-80 of 170 projects
A PyTorch-based computer vision foundation model with deformable convolutions for object detection and segmentation.
A self-hosted alternative to Google Photos with features like face detection and object recognition.
Official implementation of the DETR object detection paper with improved DeNoising Anchor Boxes
A Python database system for building AI-powered applications, featuring tools for data analysis, labeling, and serving.
An AI-powered tool for training supervised models without manual labeling, using foundation models and multimodal learning.
A YOLOv5-based object detection system for detecting safety helmets and restricted areas on construction sites.
A C++ API and server for deep learning that supports popular frameworks like PyTorch, TensorFlow, and XGBoost.
A self-hosted, local-only NVR and AI computer vision software with features like object detection and face recognition.
YoloV3 object detection implemented in TensorFlow 2.0
Collection of resources for object tracking and detection using deep learning.
A collection of Jupyter Notebook tutorials on solving real-world problems with machine learning and deep learning using PyTorch.
A ROS package for real-time object detection using the YOLO deep learning model.
Deep Learning toolkit for Computer Vision with advanced object detection and recognition capabilities.
This repository provides a tutorial and code for implementing the YOLO v3 object detection algorithm from scratch using PyTorch.
A collection of pre-trained, state-of-the-art AI models for the ailia SDK, supporting a wide range of computer vision and natural language processing tasks.
A curated collection of ICCV conference papers, code, and interpretations for computer vision developers.
Turn any computer or edge device into a command center for your computer vision projects.
An open-source library for deep learning on satellite and aerial imagery using Python and PyTorch.
YOLOP is a Python-based autonomous-driving perception project for panopitic driving perception.
SparseML provides a library for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models.
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