Dataset Versions

v4

2024-11-27 3:27pm

Generated on Nov 27, 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 87%
1119Images
Valid Set 9%
111Images
Test Set 4%
56Images

Preprocessing

Auto-Orient: Applied
Static Crop: 20-60% Horizontal Region, 26-73% Vertical Region
Resize: Stretch to 255x255
Grayscale: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 1 rows x 1 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 5% Minimum Zoom, 14% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±11° Horizontal, ±13° Vertical
Hue: Between -21° and +21°
Saturation: Between -28% and +28%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1px