Dataset Versions

v10

2024-11-10 4:46pm

Generated on Nov 10, 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.
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Dataset Split

Train Set 98%
7840Images
Valid Set 2%
196Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 150x150
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -13° and +13°
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Exposure: Between -4% and +4%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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