Dataset Versions

v3

2022-11-06 5:47pm

Generated on Nov 6, 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 96%
303Images
Valid Set %
0Images
Test Set 4%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 41% Maximum Zoom
Rotation: Between -30° and +30°
Shear: ±36° Horizontal, ±32° Vertical
Grayscale: Apply to 72% of images
Hue: Between -118° and +118°
Saturation: Between -77% and +77%
Brightness: Between -44% and +44%
Exposure: Between -36% and +36%
Blur: Up to 1px
Noise: Up to 6% of pixels
Cutout: 8 boxes with 15% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 30% Maximum Zoom
Bounding Box: Rotation: Between -30° and +30°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 1px
Bounding Box: Noise: Up to 5% of pixels

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