Dataset Versions

v1

2024-07-23 11:31am

Generated on Jul 23, 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%
2574Images
Valid Set 8%
245Images
Test Set 4%
123Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Hue: Between -16° and +16°
Saturation: Between -32% and +32%
Blur: Up to 0.6px
Noise: Up to 1.33% of pixels

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