Dataset Versions

v1

2024-01-02 1:20am

Generated on Jan 1, 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.
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Dataset Split

Train Set 96%
660Images
Valid Set 3%
18Images
Test Set 2%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Blur: Up to 1.5px
Noise: Up to 1.26% of pixels
Cutout: 4 boxes with 10% size each

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