Dataset Versions

v17

2024-02-25 11:08pm

Generated on Feb 26, 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.
Other Formats
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Dataset Split

Train Set 90%
7920Images
Valid Set 10%
876Images
Test Set 0%
30Images

Preprocessing

Auto-Orient: Applied
Tile: 2 rows x 3 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Noise: Up to 0.3% of pixels
Bounding Box: Brightness: Between -5% and +5%

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