Dataset Versions

v9

Preproc w- Aug. Gen.2x - Ver2

Generated on Oct 3, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 82%
210Images
Valid Set 12%
30Images
Test Set 6%
15Images

Preprocessing

Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Rotation: Between -5° and +5°
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Noise: Up to 2% of pixels
Mosaic: Applied