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

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

Synthetic data-set generator for Object Detection and Instance Segmentation

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

use DL model automatically label image

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

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

Conver labelme annotation format to yolov7 annotation format for segmentation.

Mask RCNN Implementation on Custom Data(Labelme)

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

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

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..

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