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

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

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

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

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

RF-DETR target model for use with Autodistill.

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.

Sini Dek Dekat Yanda is software dangerous object detection.

Object Detection and Tracking using yolov3 and deepsort

Created API calls, application disclosure, documentation, templates, and code for Enduka Cloud for software development

Real time AI object detection and labelling app build by using ReactJS and react webcam

REST API to detect objects in images. Get labels, confidence scores, and bounding box coordinates. Powered by neural networks.

Custom object detection model for low clearance signs

Detecting Dormice in Images Using Object Detection and Transfer Learning

Image Object Recogniser with COCO pre trained machine learning model

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.

📄 Documentation for Vue Andoka Cloud

Object Detection With YOLO