Dataset Versions

v1

2024-05-07 7:15am

Generated on May 7, 2024

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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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Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
Resize: Stretch to 200x200
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Tile: 2 rows x 2 columns
Modify Classes: 2 remapped, 0 dropped
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 32
Flip: Horizontal
90° Rotate: Clockwise
Crop: 12% Minimum Zoom, 71% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Grayscale: Apply to 50% of images
Hue: Between -180° and +180°
Saturation: Between -50% and +50%
Brightness: Between 0% and +91%
Exposure: Between -30% and +30%
Blur: Up to 1.5px
Noise: Up to 50% of pixels
Cutout: 10 boxes with 71% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise
Bounding Box: Crop: 12% Minimum Zoom, 71% Maximum Zoom
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Shear: ±45° Horizontal, ±45° Vertical
Bounding Box: Brightness: Between 0% and +91%
Bounding Box: Exposure: Between -30% and +30%
Bounding Box: Blur: Up to 1.5px
Bounding Box: Noise: Up to 50% of pixels

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