Dataset Versions

v1

2024-05-10 11:33pm

Generated on May 10, 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 100%
141Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Static Crop: 14-87% Horizontal Region, 25-94% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 2% of images
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.1px
Noise: Up to 0.1% of pixels

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