Dataset Versions

v2

2022-11-25 1:01am

Generated on Nov 25, 2022

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 91%
3516Images
Valid Set 5%
176Images
Test Set 5%
176Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-93% Horizontal Region, 2-81% Vertical Region
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 32% of images
Hue: Between -50° and +50°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -12% and +12%
Blur: Up to 4.25px
Noise: Up to 1% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -25% and +25%

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