Dataset Versions

v4

2023-06-27 5:15pm

Generated on Jun 27, 2023

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 86%
876Images
Valid Set 9%
89Images
Test Set 6%
59Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1536x864

Augmentations

Outputs per training example: 3
Hue: Between -6° and +6°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 2% of pixels

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