Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
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Updated
May 10, 2024 - Python
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
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/
Using YOLOv8 to build a Object Classifier/Tracker for RBG/Thermal Cameras
YOLO version 3 implementation in TensorFlow 2
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.
Object Detection and Tracking using yolov3 and deepsort
Sini Dek Dekat Yanda is software dangerous object detection.
Image Object Recogniser with COCO pre trained machine learning model
This is a python project that recognizes truck when truck comes at the weighbridge and take the picture and update on the WhatsApp number.
Real time AI object detection and labelling app build by using ReactJS and react webcam
Custom object detection model for low clearance signs
Object Detection With YOLO
smart and strong object detection ai built from scatch with some new features 🚀🚀
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