Dataset Versions

v1

2022-10-11 2:27pm

Generated on Oct 11, 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 88%
19956Images
Valid Set 8%
1882Images
Test Set 4%
955Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 300x300

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 49% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±12° Vertical
Brightness: Between -41% and +41%
Noise: Up to 5% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -40% and +40%

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