Dataset Versions

v1

2024-09-03 8:08am

Generated on Sep 3, 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%
13428Images
Valid Set 8%
1284Images
Test Set 4%
648Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%
Blur: Up to 1px

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