Dataset Versions

v5

2024-12-08 11:46pm

Generated on Dec 8, 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 95%
8712Images
Valid Set 3%
308Images
Test Set 1%
136Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -5° and +5°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1.2px
Noise: Up to 0.18% of pixels

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