TESIS

ORTO-TESIS

Object Detection

ORTO-TESIS Image Dataset

v3

2024-02-04 6:36pm

Generated on Feb 5, 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 88%
165Images
Valid Set 8%
15Images
Test Set 4%
8Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -19° and +19°
Saturation: Between -21% and +21%
Brightness: Between -21% and +21%
Exposure: Between -11% and +11%
Blur: Up to 1.6px
Noise: Up to 1.76% of pixels