dataset or annotation file format conversion
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Updated
Aug 29, 2024 - Python
dataset or annotation file format conversion
This tool extracts images from a PDF, annotates them using the YOLOv5 model, and converts the annotated images back into a single PDF.. https://github.com/ultralytics/yolov5 https://github.com/HumanSignal/labelImg https://www.kaggle.com/code/sagardeepdas/yolov5-model1
This repository contains code for detecting sign language gestures using YOLOv5. It includes data collection, model training, and detection scripts.
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.
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