Dataset Versions

v2

2024-09-18 7:35pm

Generated on Sep 18, 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 87%
288Images
Valid Set 8%
27Images
Test Set 5%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1.9px
Noise: Up to 0.58% of pixels

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