Dataset Versions

v42

2024-01-18 2:01am

Generated on Jan 17, 2024

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 88%
3834Images
Valid Set 12%
502Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 416x416
Filter Null: Require at least 5% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -60° and +60°
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4.5px
Noise: Up to 1.48% of pixels

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