Dataset Versions

v10

2024-05-30 11:36am

Generated on May 30, 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 77%
3312Images
Valid Set 13%
575Images
Test Set 9%
395Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 480x480

Augmentations

Outputs per training example: 2
Flip: Horizontal
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1.53% of pixels

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