Dataset Versions

v9

2023-01-25 8:53pm

Generated on Jan 25, 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 92%
1971Images
Valid Set 8%
180Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 128x128
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -23° and +23°
Hue: Between -26° and +26°
Saturation: Between -28% and +28%
Brightness: Between -31% and +31%
Blur: Up to 2px
Noise: Up to 4% of pixels
Bounding Box: Rotation: Between -13° and +13°