Dataset Versions

v1

2024-01-17 6:24pm

Generated on Jan 17, 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%
153Images
Valid Set 8%
14Images
Test Set 4%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 24% of images
Hue: Between -25° and +25°
Saturation: Between -33% and +33%
Exposure: Between -10% and +10%
Blur: Up to 4px
Noise: Up to 1.96% of pixels

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