Dataset Versions

v1

2022-10-02 1:48am

Generated on Oct 2, 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 89%
4800Images
Valid Set 9%
505Images
Test Set 1%
63Images

Preprocessing

Resize: Stretch to 1280x720

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Hue: Between -180° and +180°
Exposure: Between -10% and +10%
Blur: Up to 3px

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