Dataset Versions

v2

2024-02-18 2:49pm

Generated on Feb 18, 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 90%
5463Images
Valid Set 6%
351Images
Test Set 4%
241Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 10% of images
Brightness: Between -10% and +10%
Exposure: Between -7% and +7%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels

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