Label Studio is a multi-type data labeling and annotation tool with standardized output format

This repository focuses on training a custom YOLOv5 model to detect and classify clothing accessories, including shirts, pants, shoes, handbags, and sunglasses. It involves collecting images, annotating them with tools like Label Studio, training the model, and running inference on new images.

Project on Evalution Fashionability of Man Outwear Based on Their Clothes

Create ready-to-use Label Studio pre-populated JSON files from popular OCR formats.

Developed a task automation program using API calls for Label Studio, reducing task assignment time from 3.41 hours to 10 seconds—a 99% reduction. The system managed approximately 24,000 tasks daily, with accurate logging in a file, demonstrating strong attention to detail and scalability.

About DagsHub

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.

ML backend for the Label Studio tool. The backend uses the YOLOv8 model for instance image segmentation or object detection.

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.

A Label Studio plugin with InstanceGM for improving data labels for machine learning with machine learning

Measure agreement between chart reviewers.

This streamlines the process of annotating data for machine learning tasks, making it easier and more efficient for teams to create labeled datasets by leveraging Label Studio and Bulk

Selenium Automation Script for Task Assignment

A Streamlit component integrating Label Studio Frontend in Streamlit applications

Full-fledged Data Exploration Tool for Label Studio

Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package

Custom YOLOv8 backend for Label Studio

💻 My Streamlit Archive 💻

ML Backend for Label Studio written in Rust.

Exploring NLP weak supervision approaches to train text classification models. The project is also a prototype for a semi-automated text data labelling platform. Approaches: Snorkel and Zero-Shot Learning.