Dataset Versions

v2

2024-03-26 9:57pm

Generated on Mar 27, 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%
1701Images
Valid Set 8%
160Images
Test Set 4%
78Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x360

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -34% and +34%
Exposure: Between -15% and +15%
Blur: Up to 4.8px
Noise: Up to 1.96% of pixels

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