Dataset Versions

v17

2024-06-05 2:10pm

Generated on Jun 5, 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 80%
6102Images
Valid Set 14%
1098Images
Test Set 6%
459Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Brightness: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 1.69% of pixels

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