Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
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Updated
Jul 19, 2024 - Python
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
Open Toolkit for Painless Object Detection
Firescrew - Spotting moving objects on your RTSP network cameras faster than a caffeinated cat!
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
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.
Tensorflow Advanced Technique Specialization - Solution
smart and strong object detection ai built from scatch with some new features 🚀🚀
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.
YOLO version 3 implementation in TensorFlow 2
Repository contains RetinaNet,Yolov3 and Faster RCNN for multi object detection on SIMD Dataset http://vision.seecs.edu.pk/simd/
This is a python project that recognizes truck when truck comes at the weighbridge and take the picture and update on the WhatsApp number.
Using YOLOv8 to build a Object Classifier/Tracker for RBG/Thermal Cameras
Object Detection With YOLO
Object Detection and Tracking using yolov3 and deepsort
Sini Dek Dekat Yanda is software dangerous object detection.
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.
Python library for Object Detection metrics.
Custom object detection model for low clearance signs
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