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About FastLabel

FastLabel is a data annotation platform for building training datasets across images, video, and text. It uses AI-assisted labeling to speed up annotation while letting teams define custom workflows and review steps to maintain quality. Real-time collaboration and analytics dashboards show progress and performance across annotators, and the system scales to large projects. Integration capabilities help connect annotation output to downstream ML development. Key capabilities: AI-assisted annotation for multiple data types Customizable labeling workflows and QA Real-time team collaboration Analytics dashboards for progress and quality Scalable, web-based annotation environment Best for: ML teams that need faster, high-quality dataset creation.

FastLabel Details

Vendor
FastLabel
Year Launched
2020
Location
Kita Shinagawa 5-5-27 202, Shinagawa, Tokyo, Japan
Deployment
cloud
Training Options
live online
Countries Served
Japan
Languages
Japanese, English
Users
ML engineers, AI development teams, and product managers
Industries Served
Healthcare, Retail, Manufacturing, Logistics, E-commerce, Agriculture
Tags
Data Annotation, Machine Learning, AI, Image Labeling, Automation.

FastLabel's In-App Market Place

Does FastLabel have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

JPY (¥)

Pros & Cons

  • 1. Provides accurate and efficient labeling of large datasets
  • 2. Helps improve model performance through high-quality data annotation
  • 3. Offers customizable options for annotation types and workflows
  • 4. Saves time and resources by automating repetitive labeling tasks
  • 5. Supports multiple file formats and data sources for easy integration.
  • 1. Limited customization options for labeling tasks
  • 2. Steeper learning curve for users new to AI technology
  • 3. Occasional bugs and glitches in the software
  • 4. Limited integration options with other software or platforms

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