This repository provides you with an easy-to-use labeling tool for State-of-the-art Deep Learning training purposes. It supports Auto-Labeling.

An open source python library for automated prediction engineering

FEWSAM Few-shot Segmentation tool based on Segment Anything

augini: AI-Powered Tabular Data Assistant

use DL model automatically label image

This reposity contains some serverless functionality for auto annotations

Auto labelling with pretrained yolov4 model

기존의 yolov7에서 학습한 모델을 이용하여 데이터셋에 경계박스 좌표를 labelme형식으로 내보내주는 기능을 추가하였습니다

This is an unofficial Python demo of the Self-Supervised Label Generator (SSLG), presented in "Self-Supervised Drivable Area and Road Anomaly Segmentation using RGB-D Data for Robotic Wheelchairs. Our SSLG can be used effectively for self-supervised drivable area and road anomaly segmentation based on RGB-D data".

Simple development environment to quickly explore recent Deep Learning algorithms, plus some experiments and results. | Explored: Foundational Models for Autolabelling; Chat LLMs+RAG; Diffusion for 2D 3D data generation; Docker DevEnv + CI/CD

This project automates the detection and labeling of cars in images using YOLO models. It extracts key attributes such as car color, model, and license plate details, then saves the information in an XML file.

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