This project is about LabelStudio local integration. It can be perspectively used as a local data markup environment with object data storage in different projects.

DVC Sync S3 API is a minimal S3 interface that bridges the gap between data labeling tools and the data science pipeline

💻 My Streamlit Archive 💻

Project on Evalution Fashionability of Man Outwear Based on Their Clothes

AI Baseed Border Security System focuses on detecting enemies, smuggler and foreign object primarily based on their color but for industrial level, there would be used human behaviour and movements and other stuffs to train to identify those objects from Drone, Sattellite and CC Tv and thermal radiation from human beings by using thermal sensors.

A set of nodes to connect Label Studio in interesting ways.

A dashboard for Label Studio Free, allowing you to check for your team progress even on Free plan of Label Studio. It utilizes the Label Studio API and providing basic insights about your team progress.

Standalone browser application to annotate arbitrary data objects locally.

This project is an end-to-end workflow for processing a sample invoice using OCR & manual annotation. The project demonstrates how to extract text from an invoice using Tesseract OCR, refine the results in Label Studio, & prepare a high-quality dataset for AI training. Includes configuration files, scripts, & documentation for document processing

ML/AI Data Curation Functional Setup

Lightweight CLI to train and run YOLOv8 object detection on your own images. Train from a custom data.yaml, then batch-infer over a gallery to export annotated images, optional crops, and a results.csv—with CUDA/CPU auto-selection, TTA, and configurable thresholds/img sizes.

API service that detects toxicity in Russian text using machine learning

Develop an object detection model capable of identifying specific types of products that’s related to Makeup and beauty from TikTok videos. This includes scraping videos, refining data, annotating products, and training the model using YOLO.

Minimal tools to QA text classification labels exported from Label Studio.

A script for obtaining a binary mask as png from label_studio json format

About DagsHub

Python defect detection application

digator-label-studio is a set of different Label Studio ML backends.

🛠️ Prepare images, label data, set up your environment, and train YOLO models for real-time detection with this comprehensive guide.

A machine learning and deep learning pipeline for fashion image classification. Combines real-world data, manual annotation, and both KNN and EfficientNet-B0 CNN models to classify images into style categories. Includes data cleaning, augmentation, model training, evaluation, and reproducible notebooks.