Dataset Versions

v1

2024-12-15 11:23pm

Generated on Dec 15, 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 96%
7509Images
Valid Set 3%
230Images
Test Set 1%
65Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±13° Horizontal, ±9° Vertical
Exposure: Between -32% and +32%
Blur: Up to 2.2px
Noise: Up to 1.29% of pixels

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