Dataset Versions

v4

2022-10-20 10:05am

Generated on Oct 20, 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.
Other Formats
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Dataset Split

Train Set 87%
378Images
Valid Set 8%
36Images
Test Set 4%
19Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -45° and +45°
Exposure: Between -15% and +15%
Blur: Up to 4px
Noise: Up to 15% of pixels
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Noise: Up to 5% of pixels