Dataset Versions

v4

2024-08-14 8:31am

Generated on Aug 14, 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%
18735Images
Valid Set 8%
1820Images
Test Set 4%
878Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 18% of images
Hue: Between -46° and +46°
Blur: Up to 3.3px
Mosaic: Applied
Bounding Box: Blur: Up to 1.9px
Bounding Box: Noise: Up to 2.55% of pixels

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