Dataset Versions

v6

2022-06-21 12:57pm

Generated on Jun 21, 2022

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 94%
1722Images
Valid Set 4%
68Images
Test Set 2%
34Images

Preprocessing

Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -20° and +20°
Hue: Between -10° and +10°
Saturation: Between -51% and +51%
Brightness: Between -39% and +39%
Exposure: Between -15% and +15%
Noise: Up to 25% of pixels

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