Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".

This project is a model designed to predict the color of cars in traffic, count the number of cars in the traffic signal, identify the gender distribution of people in the traffic signal, and predict the number of other vehicles apart from cars.

NVR with realtime local object detection for IP cameras

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

PyTorch extensions for fast R&D prototyping and Kaggle farming

Neural Network Compression Framework for enhanced OpenVINO™ inference

基于TensorRT的C++高性能推理库，Yolov10, YoloPv2，Yolov5/7/X/8，RT-DETR，单目标跟踪OSTrack、LightTrack。

OpenMMLab's next-generation platform for general 3D object detection.

Implementation of image fusion, distance estimation, and object detection algorithms for Saferail in Pakistan.

We write your reusable computer vision tools. 💜

Scalable Facial Recognition Server Platform

Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

autoupdate paper list

Artificial Intelligence / Machine Learning in processing of panoramic images - research, try-outs, failures and achievements from the perspective of a PhD student!

Driver Drowsiness Detection with YOLOv8 and Facial Features Combat driver fatigue with this deep learning-powered system that utilizes YOLOv8 to detect open and closed eyes, accurately assessing drowsiness levels.

Python Computer Vision & Video Analytics Framework With Batteries Included

A web-based implementation of the Media Pipe object detection model for 3D pose estimation . This setup allows real-time 3D object detection directly in the browser without the need for additional software installations.

Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

This repository contains tasks focusing on prompt engineering for vision models. Each task explores different aspects of image segmentation, object detection, and image generation using advanced machine learning models. Below are detailed descriptions of the tasks and their respective notebooks.