Dataset Versions

v11

2023-07-04 9:31am

Generated on Jul 4, 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 93%
2238Images
Valid Set 7%
157Images
Test Set 0%
2Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 3% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -11° and +11°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -13% and +13%
Blur: Up to 2px
Noise: Up to 6% of pixels
Mosaic: Applied

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