Dataset Versions

v2

2024-11-20 10:55pm

Generated on Nov 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.
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Dataset Split

Train Set 88%
852Images
Valid Set 8%
79Images
Test Set 4%
42Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±11° Horizontal, ±11° Vertical
Grayscale: Apply to 9% of images
Brightness: Between -17% and +17%
Exposure: Between -15% and +15%
Blur: Up to 3.3px
Noise: Up to 1.84% of pixels

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