Dataset Versions

v3

2024-06-20 5:58am

Generated on Jun 20, 2024

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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 49%
912Images
Valid Set 51%
967Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 512x512

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±12° Vertical
Grayscale: Apply to 20% of images
Hue: Between -3° and +3°
Saturation: Between -10% and +10%
Brightness: Between -5% and +5%

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