Dataset Versions

v19

2024-07-12 7:20am

Generated on Jul 12, 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 93%
15444Images
Valid Set 4%
621Images
Test Set 4%
612Images

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
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 12% Minimum Zoom, 30% Maximum Zoom
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1.19% of pixels
Mosaic: Applied

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