Dataset Versions

v4

2024-09-27 11:35am

Generated on Sep 27, 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 90%
660Images
Valid Set 7%
55Images
Test Set 3%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 500x500

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Saturation: Between -33% and +33%
Brightness: Between -16% and +16%
Blur: Up to 2.3px
Noise: Up to 1.92% of pixels

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