Dataset Versions

v2

2024-08-03 4:43pm

Generated on Aug 3, 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.
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Dataset Split

Train Set 88%
717Images
Valid Set 8%
68Images
Test Set 4%
34Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1376x1020

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Exposure: Between -15% and +15%

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