Dataset Versions

v7

2024-08-09 4:21pm

Generated on Aug 9, 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 95%
23949Images
Valid Set 4%
996Images
Test Set 1%
264Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Brightness: Between -10% and +10%
Blur: Up to 0.8px
Noise: Up to 0.5% of pixels

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