Dataset Versions

v1

2023-10-01 12:16pm

Generated on Oct 1, 2023

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 82%
18144Images
Valid Set 9%
2013Images
Test Set 9%
2015Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Blur: Up to 1.75px
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Brightness: Between -7% and +7%
Bounding Box: Noise: Up to 5% of pixels

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