Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Firescrew - Spotting moving objects on your RTSP network cameras faster than a caffeinated cat!

Open Toolkit for Painless Object Detection

mmdetection3d 代码重点注解笔记

YOLO Algorithm (Yolov2 model) trained on COCO Dataset for Object Detection

Using YOLOv8 to build a Object Classifier/Tracker for RBG/Thermal Cameras

Python library for Object Detection metrics.

Tensorflow Advanced Technique Specialization - Solution

YOLO is a state-of-the-art, real-time object detection algorithm. In this notebook, I had applied the YOLO algorithm to detect objects in images ,videos and webcam

Repository contains RetinaNet,Yolov3 and Faster RCNN for multi object detection on SIMD Dataset http://vision.seecs.edu.pk/simd/

This a simple comparison and benefits of the pre-trained weights model vs the random weights model

YOLO version 3 implementation in TensorFlow 2

Custom Dataset Training pipeline using Pytorch and Meta's object detection model DETR.

Implementation of real-time object detection algorithm YOLOR on edge device

This is an Object Detection Web App built using Flask. It is developed using OpenCV4.4.0 by re-using a pre-trained TensorFlow Object Detection Model API trained on the COCO dataset.

🚀 Computer Vision Hub: Real-time face recognition (OpenCV + SVM), YOLO object detection, and advanced image processing with Streamlit UI

Is there a fish 🐟 or not? Fish Detector App and Model

Event streams based multiple target tracking system involving clustering, state estimation and prediction

This is a python project that recognizes truck when truck comes at the weighbridge and take the picture and update on the WhatsApp number.

RF-DETR target model for use with Autodistill.