Dataset Versions

v2

2024-08-29 7:25am

Generated on Aug 29, 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 88%
1017Images
Valid Set 8%
97Images
Test Set 4%
48Images

Preprocessing

Resize: Stretch to 1280x720

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 0.5px

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