Dataset Versions

v6

2024-09-18 5:52am

Generated on Sep 18, 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 84%
1296Images
Valid Set 12%
180Images
Test Set 5%
72Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 960x1524
Grayscale: Applied
Tile: 6 rows x 6 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels

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