Dataset Versions

v2

2024-03-03 12:13am

Generated on Mar 2, 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 88%
525Images
Valid Set 8%
50Images
Test Set 4%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Hue: Between -10° and +10°
Saturation: Between -15% and +15%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Blur: Up to 0.6px
Noise: Up to 0.02% of pixels

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