Dataset Versions

v2

2024-08-03 3:04pm

Generated on Aug 3, 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 87%
1389Images
Valid Set 8%
133Images
Test Set 4%
66Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Exposure: Between -5% and +5%
Blur: Up to 2.5px
Noise: Up to 0.18% of pixels

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