Dataset Versions

v4

2024-11-08 1:33pm

Generated on Nov 8, 2024

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.
Other Formats
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Dataset Split

Train Set 82%
5130Images
Valid Set 9%
558Images
Test Set 9%
552Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Hue: Between -10° and +10°
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 0.1% of pixels

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