Dataset Versions

v19

2024-04-11 12:15pm

Generated on Apr 11, 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%
8700Images
Valid Set 8%
843Images
Test Set 5%
544Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal
Crop: 0% Minimum Zoom, 14% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±14° Vertical
Grayscale: Apply to 20% of images
Hue: Between -21° and +21°
Saturation: Between -34% and +34%
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Blur: Up to 4.1px
Noise: Up to 1.88% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise

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