Dataset Versions

v2

2023-04-22 9:28pm

Generated on Apr 22, 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.
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Dataset Split

Train Set 86%
51Images
Valid Set 8%
5Images
Test Set 5%
3Images

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 Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 25% of images
Hue: Between -45° and +45°
Saturation: Between -36% and +36%
Blur: Up to 10px
Noise: Up to 8% of pixels
Mosaic: Applied
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -25% and +25%

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