labelme-annotations 开源项目推荐（20 个）

RapidAI /LabelConvert

🔄 A tool for object detection and image segmentation dataset format conversion.

WillBrennan /SemanticSegmentation

一个用于在 Labelme 注释上训练分割模型的框架，包含预训练的皮肤、猫和披萨配料分割示例

TannerGilbert /Computer-Vision-Synthetic-Data-Generation

Synthetic data-set generator for Object Detection and Instance Segmentation

WillBrennan /ObjectDetection

A framework for training mask-rcnn in pytorch on labelme annotations with pretrained examples of skin, cat, pizza topping, and cutlery object detection and instance segmentation

laugh12321 /AutoLabelMe

use DL model automatically label image

ParulParima /LabelMe-Image-Data-Augment-

This script is used to augment image data created using LabelMe-MIT.

mberkay0 /automated-labelme

Image Annotation Tool with Automated labelme in Python (automated rectangle or polygonal annotation)

Tlaloc-Es /labelme2yolov7segmentation

Conver labelme annotation format to yolov7 annotation format for segmentation.

lunanfoldomics /Cinnamon-GUI

Convolutional Neural Network And Multimodal Learning with Graphic User Interface for Digital Pathology

codeperfectplus /Mask-RCNN-Implementation

Mask RCNN Implementation on Custom Data(Labelme)

omigutin /annotation_parser

AnnotationParser is a universal Python library that parses annotation files from different formats (LabelMe, COCO, VOC, etc.) into a single unified Shape data structure. This allows you to work with annotations using a consistent interface, regardless of the original format.

avishekdas539 /Face_Detection

Face Detection using base model of VGG16 with added extra layers for specific purpose.

JVCEmmel /labelmeTransformator

该项目在 GitHub 上没有填写描述

P-Bhuvanesh /product_classification

Classification of good and defect product based on the labelling of the product. The dataset is collected from our end it includes Eraser, Pen, Sharpener. Yolov5 model is used for the classification..

xkchok /polygon-editor

An interactive GUI tool for editing polygon annotations on images

Gangula-Sandaru /face-detection-using-CNN--VGG16

This project implements a face detection system using a Convolutional Neural Network (CNN) with the VGG16 architecture. The system detects human faces from images or real-time video by learning facial patterns using deep learning techniques.

bhatt-j /Face-Detection

该项目在 GitHub 上没有填写描述

heabeounMKTO /kesa

tool for auto labeling, conversion and augmentation for darknet YOLO (and other annotation formats)

Helenaden /Object-Oriented-Programming-in-Python-for-Data-Science

The project shows how to design reusable, modular code that makes working with annotated images easier and more scalable.

Tlaloc-Es /labelme-to-yolo

Python library to convert LabelMe JSON annotations into YOLO (YOLOv5/YOLOv7) format, including automatic dataset splitting and structure generation for computer vision workflows.