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Calcimator

Data Augmentation Calculator

Calculate effective dataset size after augmentation, accounting for diversity and quality degradation.

Inputs

Results

Effective Dataset Size

23,000

Effective Multiplier4.6x
Total Samples (raw)30,000
Est. Storage3 GB
How to Use This Calculator
  1. Enter Original Samples, Augmentations per Sample, and Augmentation Types.
  2. Set Quality Drop %.
  3. Review the Effective Dataset Size result.
  4. Use Effective Multiplier (x) and Total Samples (raw) to inform your decision.
  5. Use the chart to visualize the results and explore different scenarios by adjusting inputs.

How the result changes with Original Samples

Original SamplesEffective Dataset Size
1,000,0014,600,005
3,500,00116,100,005
6,500,00029,900,000
9,000,00041,400,000

What each input means

Original Samples
Number of original training samples before augmentation
Augmentations per Sample
Number of augmented copies generated per original sample
Augmentation Types
Number of distinct augmentation techniques (flip, rotate, crop, color, noise, etc.)
Quality Drop %
Estimated quality/label reliability drop from augmentation artifacts

How this is calculated

Worked example, using the default values

  1. Identify Input Parameters
    4 parameters
    Original Samples = 5000, Augmentations per Sample = 5, Augmentation Types = 3, Quality Drop % = 10 = 4 input(s) provided
  2. Calculate Effective Dataset Size
    Effective Dataset Size
    23000 = 23000
  3. Calculate Effective Multiplier
    Effective Multiplier
    4.6 = 4.6

Engine last updated . Checked against 2 independently-derived tests — how we verify calculators.

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