Dataset Versions

v9

2024-04-08 9:10pm

Generated on Apr 8, 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 85%
16324Images
Valid Set 13%
2460Images
Test Set 3%
528Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 7
Flip: Horizontal
Saturation: Between -25% and +25%
Cutout: 10 boxes with 10% size each

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