Dataset Versions

v6

2024-06-20 7:35am

Generated on Jun 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 88%
1794Images
Valid Set 8%
161Images
Test Set 4%
78Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Saturation: Between -33% and +33%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px

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