Dataset Versions

v3

2023-07-07 6:04pm

Generated on Jul 7, 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.
Other Formats
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Dataset Split

Train Set 88%
3642Images
Valid Set 8%
345Images
Test Set 4%
174Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Applied
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -30° and +30°
Saturation: Between -33% and +33%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 1% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical

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