Identify the person (speaker) in video, where this person is performing an art or speaking as a motivational speaker
-
Updated
Jul 30, 2019 - Python
Identify the person (speaker) in video, where this person is performing an art or speaking as a motivational speaker
Detection of exposed private parts
This project contains python scripts to perform enhanced object detection on images, videos and in real time using deep learning models.
Object Detection using YOLO and OpenCV.
This project is developed with Python and TensorFlow and is designed to detect sign language live. It uses computer vision techniques to capture the user's gestures in real-time and predict the corresponding sign language symbol.
This repository focuses on finding a specified object in a given image.
This project is a part of my MSc degree in Department of Computing, Imperial College London. This project is done under the efficient collaboration with my classmates Tomasz Bartkowiak, Danlin Peng, Yini Fang, Suampa Ketpreechasawat, and Nattapat Chaimanowong. We appreciate much all sincere and helpful advices received from co-supervisors, Anand…
Object Detection using Yolov5
This repository demonstrates how to use YOLOv5 for object detection on a custom dataset. It includes scripts and instructions for preparing the dataset, training the model, and evaluating its performance.
A highly flexible, scalable object detection library based on YOLO and SSD like architecture in TensorFlow.
A program in Python using OpenCV to detect objects in a real-time video feed and classify them.
This code identifies known employees and write their arrival time in the database
Use own data to implement object detection using tensorflow
Multiprocessing script for conversion of KITTI dataset to Tensorflow records
Neural architecture search for object detectors using non dominated sorting genetic algorithm and surrogate optimization
Graduation Project - Intelligent Image Based Cleaning Iot System
for study case
A naive Algorithm that uses People Detection and Convex Hull as subroutines to solve this problem: "Given an image of people standing randomly, how many people can be a part of some queue {Q}. A queue {Q} is basically a line(y = mx + c) that minimises a custom loss function. "
Add a description, image, and links to the objectdetection topic page so that developers can more easily learn about it.
To associate your repository with the objectdetection topic, visit your repo's landing page and select "manage topics."