Dataset Versions

v2

2023-11-20 8:07pm

Generated on Nov 20, 2023

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 88%
4482Images
Valid Set 8%
432Images
Test Set 4%
207Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels

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