Product Documentation
HomepageLoginSign up
  • Welcome to Biodock
  • Why Biodock
  • Quickstart
    • Start here (choose a tutorial)
    • Path 1: AI-assisted analysis
    • Path 2: Train a fully-automated AI model
      • Set up your project
      • Label and train
      • Labeling shortcuts
      • Run your AI model
      • Configuring your model
  • AI Projects
    • Project settings
    • Sharing your AI project
    • Training a model
  • AI Analysis
    • Results dashboard overview
    • Download results and reports
    • Correcting results to improve your model
    • Editing objects (QC)
    • Filters (like flow cytometry)
  • Biodock Scripts
    • Biodock Platform Script Guidelines
  • Files
    • Uploading images
    • AWS S3 integration
    • View and manage data
      • Viewing images
      • File details and download
      • Copy, cut, move
      • Sharing data
      • Merging channels
    • Supported image types
  • Public API (Beta)
    • Overview
    • Authentication
    • Examples
    • Resources
      • Files
      • Analysis Jobs
      • Pipelines
    • Limitations
  • Deep AI models
    • Evaluating Performance
  • User
    • Account registration
    • Change password, login, logout
    • Usage limits and team
      • Filesize based limits
      • Run credits limits
    • Billing
  • Company
    • Academics and startups
    • Contact us
    • Citing Biodock
    • Security and IP
Powered by GitBook
On this page
  • Run credit consumption for analysis
  • Run credit consumption for training
  • Tips for optimizing your credit usage
  1. User
  2. Usage limits and team

Run credits limits

If you are on a contract that bills based on analysis based on file size, this page does not apply to your organization.

Run credits are a consumable that can be used to initiate model training and analysis on Biodock.

Run credit consumption for analysis

An analysis run consumes fractional run credits based on the # of images contained in the run, and the # of AI inferences (usually crops of size 1000, 2000, etc.) in the run. See pricing table below, with graduated discounts shown.

This cost is additive, with total credits used = image credits + crop credits.

Credit pricing per image

Base price
Over 1k images (60% off)
Over 5k images (80% off)

0.001

0.0004

0.0002

Credit pricing per crop

Base price
Over 5k crops (75% off)
Over 100k crops (90% off)

0.0002

0.00005

0.00002

Run credit consumption for training

Training jobs consume 0.5 run credits. If you expressly choose to add both region and object classes to one model (rarely the case), then training jobs consume 1 run credit.

Tips for optimizing your credit usage

  • Models trained with larger tile sizes use much fewer credits during analysis.

  • Submitting many images at once, instead of one at a time, will help push more of your analysis into our discounted rates, saving credits. It's typically much cheaper to run one very large job than 10 small ones (if it is large enough).

PreviousFilesize based limitsNextBilling

Last updated 2 years ago