There are 1 repository under object-detection-model topic.
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
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
Repository contains RetinaNet,Yolov3 and Faster RCNN for multi object detection on SIMD Dataset http://vision.seecs.edu.pk/simd/
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
YOLO version 3 implementation in TensorFlow 2
Using YOLOv8 to build a Object Classifier/Tracker for RBG/Thermal Cameras
Python library for Object Detection metrics.
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.
Custom Dataset Training pipeline using Pytorch and Meta's object detection model DETR.
Sini Dek Dekat Yanda is software dangerous object detection.
Object Detection and Tracking using yolov3 and deepsort
This is a python project that recognizes truck when truck comes at the weighbridge and take the picture and update on the WhatsApp number.
Custom object detection model for low clearance signs
Real time AI object detection and labelling app build by using ReactJS and react webcam
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.
Image Object Recogniser with COCO pre trained machine learning model
This repository presents my project on Car Detection Algorithm for Self-Driving Cars using the YOLO object detection algorithm.
An AI tool that enables the workers to monitor the social distancing in a crowded workplace.
Object detection model inferencing with DETR
Object detection using the YOLO (You Only Look Once) algorithm is a popular deep-learning approach that allows for real-time, efficient, and accurate detection of multiple objects in an image or video stream. YOLOv7.cfg and YOLOv3.weights are specific configurations and pre-trained weights for two versions of the YOLO algorithm.
Object Detection With YOLO