Dataset Versions

v1

2021-12-17 8:39pm

Generated on Dec 17, 2021

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 94%
1500Images
Valid Set %
0Images
Test Set 6%
100Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 27-81% Horizontal Region, 27-81% Vertical Region
Resize: Stretch to 416x416
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 18% Maximum Zoom
Rotation: Between -27° and +27°
Shear: ±18° Horizontal, ±27° Vertical
Grayscale: Apply to 27% of images
Saturation: Between -36% and +36%
Brightness: Between -27% and +27%
Cutout: 5 boxes with 27% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Brightness: Between -27% and +27%

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