Dataset Versions

v13

2024-10-08 10:42pm

Generated on Oct 8, 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 80%
3156Images
Valid Set 14%
544Images
Test Set 7%
264Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Exposure: Between -5% and +5%
Blur: Up to 0.6px
Noise: Up to 0.14% of pixels

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