Dataset Versions

v2

2023-11-13 7:05pm

Generated on Nov 13, 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 69%
153Images
Valid Set 14%
32Images
Test Set 17%
37Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x720

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -33° and +33°
Hue: Between -69° and +69°
Saturation: Between -62% and +62%
Brightness: Between -55% and +55%
Blur: Up to 7px
Bounding Box: Brightness: Between -40% and +40%

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