LabelImg is a graphical image annotation tool.
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Updated
Apr 23, 2024 - Python
LabelImg is a graphical image annotation tool.
Auto-LabelImg Tool base on VoTT, An electron app for building end to end Object Detection Models from Images and Videos.
Use this tool to label forms, bounding boxes, and assigning types to annotations
The system of model training and object detection on a webcam
Python utility to work with PascalVoc annotation format
Object Detection and Tracking using yolov3 and deepsort
A simple python-script to augment an annotated dataset in JPG/XML Format as used by LabelIMG (https://github.com/tzutalin/labelImg) and now Label Studio. The script will rotate the images 4 times and mirror the resulting images and the annotations making for an expansion by the factor of 8.
This repository houses a Sign Language Detection Software crafted with Tensorflow, Object Detection, LabelImg, Python, and Jupyter notebooks. Designed to empower communication for the hearing-impaired, the software employs real-time object detection for sign language gesture recognition.
This is a drowsiness detection model based on yolov5 by ultralytics.
Object Detection Using YOLO with Self-Trained Data
GestureGo facilitates bidirectional communication between people with hearing or speech impairments and other people which in turn will lessen the communication gap between them and allowing everyone to understand and be understood.
💕YOLOV5 semi-automatic annotation tool (Based on labelImg)💕基于labelImg及YOLOV5的图形化半自动标注工具
Automatic annotation system based on SAM
This repository presents a project focused on image recognition of nuts and screws using object detection techniques. The objective is to develop a model capable of accurately detecting and classifying nuts and screws in images, enabling automation and quality control in industrial settings.
This project uses computer vision techniques to detect objects on a chessboard. The data are converted into an 8x8 numpy matrix which is passed to the minimax algorithm to suggest a move.
Robot-Deployment Team Final Project: Trained Neural Network implementation for custom image recognition
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