Dataset Versions

v2

2024-01-20 11:40am

Generated on Jan 20, 2024

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 84%
120Images
Valid Set 11%
16Images
Test Set 5%
7Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Exposure: Between -7% and +7%
Blur: Up to 1.3px

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