Machine Learning Playground
Amazon Machine Learning
Lobe
Apple Machine Learning Journal
ML5.js
mlblocks
Spell
Best of Machine Learning
Labeling AI
Labelbox
Universal Data Tool
CrowdFlower
Amazon Mechanical Turk
Supervisely
Playment
ByteBridge.io
Labeling AI is a deep learning-based technology that automatically labels large amounts of data based on a small amount of pre-labeled data available. Labeling AI is an innovative tool that can save your time.
Auto labeling performs the labeling process of large datasets with minimal human intervention, required only to review the auto labeled data. Here is how it works in 3 simple steps: 1. Labeling Manually - Manually generate 100 labeled data. 2. Training Model - Train an auto labeling AI with the 100 pre-labeled data. Review and correct the results to enhance auto labeling performance. 3. Deploy the best AI - Repeat the previous step to generate 1,000, 10,000, or 100,000 auto-labeled data. Transform your auto labeling AI into an object detection AI model to perform object detection as needed.
Labeling AI offers a variety of options to easily label your data, including bounding and polygon tools.
Machine Learning Playground Labeling AINo features have been listed yet.
No Labeling AI videos yet. You could help us improve this page by suggesting one.
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Labelbox - Build computer vision products for the real world
Lobe - Visual tool for building custom deep learning models
Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset
Apple Machine Learning Journal - A blog written by Apple engineers
CrowdFlower - Enterprise crowdsourcing for micro-tasks