Dataset Versions

v1

2022-07-12 1:37pm

Generated on Jul 12, 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 87%
195Images
Valid Set 8%
18Images
Test Set 4%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 700x500
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -18° and +18°
Shear: ±18° Horizontal, ±20° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Blur: Up to 1.75px
Mosaic: Applied

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