Dataset Versions

v10

81-12-7

Generated on Jun 8, 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 81%
3348Images
Valid Set 12%
474Images
Test Set 7%
286Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -29% and +29%
Exposure: Between -25% and +25%
Blur: Up to 1px
Bounding Box: Brightness: Between -24% and +24%
Bounding Box: Exposure: Between -20% and +20%

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