Dataset Versions

v10

Con Pre-procesamiento y Augmentation 512 v2

Generated on Apr 12, 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 94%
663Images
Valid Set 4%
30Images
Test Set 1%
10Images

Preprocessing

Resize: Fit (black edges) in 512x512

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -2° and +2°
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%