Dataset Versions

v3

2024-11-06 8:38pm

Generated on Nov 6, 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 92%
4728Images
Valid Set 4%
211Images
Test Set 4%
185Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Hue: Between -19° and +19°
Brightness: Between -17% and +17%
Exposure: Between -14% and +14%
Blur: Up to 1.3px
Noise: Up to 1.53% of pixels

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