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

No description provided.

Towards un(Human)supervised Open-World Pointcloud Labeling for Autonomous Driving

Auto labelling with pretrained yolov4 model

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.

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".

Environment to explore AI/DL algorithms, with experiments and results. | Explored: Docker; CI/CD; Foundation Models (V+L); Chat LLMs+RAG; Sensor Fusion; Computer Vision; 2D/3D data generation

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