A system for quickly generating training data with weak supervision
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Updated
May 2, 2024 - Python
A system for quickly generating training data with weak supervision
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Database system for AI-powered apps
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!
The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.
Labeling tool with SAM(segment anything model),supports SAM, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具
A lightweight tool for labeling 3D bounding boxes in point clouds.
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
Django-based clone of Amazon's Mechanical Turk service running in your local environment.
A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.
One-click image sorting/labelling script
A multi-purpose Video Labeling GUI in Python with integrated SOTA detector and tracker
Make drawing and labeling bounding boxes easy as cake
Little tools to download and then weed through images, delete and classify them into groups for building deep learning image datasets (based on crawler and tkinter)
Use ML-Annotate to label data for machine learning purposes
A collaborative framework for annotating medical datasets using crowdsourcing.
Automatic tagging of clothing in E-Commerce, Using Tensorflow and GCP. Classify the clothing products into various categories using Machine Learning.
An upgraded and improved version of the Iris automatic GCP-labeling project
🚤 Label data at scale. Fun and precision included.
Programmatically find and read labels using Machine Learning
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