Dataset Versions

v13

2022-10-10 5:43pm

Generated on Oct 10, 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 97%
192Images
Valid Set %
0Images
Test Set 3%
5Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Rotation: Between -28° and +28°
Shear: ±25° Horizontal, ±20° Vertical
Grayscale: Apply to 30% of images
Hue: Between -112° and +112°
Saturation: Between -77% and +77%
Brightness: Between -22% and +22%
Exposure: Between -22% and +22%
Blur: Up to 1.5px
Noise: Up to 2% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical