Dataset Versions

v3

2024-12-28 5:27am

Generated on Dec 27, 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 86%
948Images
Valid Set 9%
100Images
Test Set 4%
48Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -5° and +5°
Grayscale: Apply to 15% of images
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Noise: Up to 0.1% of pixels

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