Dataset Versions

v5

2023-07-26 8:46am

Generated on Jul 26, 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.
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Dataset Split

Train Set 81%
1020Images
Valid Set 13%
164Images
Test Set 5%
68Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Grayscale: Applied
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, 21% Maximum Zoom
Hue: Between -76° and +76°
Brightness: Between -52% and +52%
Mosaic: Applied
Bounding Box: Brightness: Between -60% and +60%
Bounding Box: Blur: Up to 11.25px
Bounding Box: Noise: Up to 5% of pixels

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