GAUSS AI
Lobe
Machine Learning Playground
Amazon Machine Learning
Spell
ML5.js
Apple Machine Learning Journal
People for AI
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.
GAUSS AI Labeling AINo features have been listed yet.
Lobe - Visual tool for building custom deep learning models
Labelbox - Build computer vision products for the real world
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset
Amazon Machine Learning - Machine learning made easy for developers of any skill level
CrowdFlower - Enterprise crowdsourcing for micro-tasks
