Dataset Versions

v3

2023-01-20 2:22pm

Generated on Jan 20, 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 95%
18768Images
Valid Set 4%
807Images
Test Set 1%
204Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -28° and +28°
Shear: ±11° Horizontal, ±11° Vertical
Grayscale: Apply to 30% of images
Hue: Between -25° and +25°
Saturation: Between -50% and +50%
Brightness: Between -19% and +19%
Blur: Up to 1.25px
Noise: Up to 3% of pixels

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