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

Explore the Computer Vision Interview Prep repository! This GitHub collection offers interview questions and answers for Data Scientists. Elevate your knowledge of computer vision, confidently tackle technical interviews, and succeed in the dynamic field of data science with a focus on computer vision applications.

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

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

Python library for Object Detection metrics.

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.

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.

Event Camera based Multiple Target Tracking system

Object Detection and Tracking using yolov3 and deepsort

Sini Dek Dekat Yanda is software dangerous object detection.

Object Detection With YOLO

This project demonstrates object detection using YOLOv5. The model is trained on a custom dataset and can detect objects in new images. YOLOv5 is a state-of-the-art object detection model known for its speed and accuracy, making it suitable for real-time applications.