object-detection-model

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

AI-assisted camera trap analysis: detection, species recognition, verification, dashboards and exports. Free, open source, for Windows, macOS and Linux.

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

Tensorflow Advanced Technique Specialization - Solution

Python library for Object Detection metrics.

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

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

YOLO version 3 implementation in TensorFlow 2

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

RF-DETR target model for use with Autodistill.

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.

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

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