Tarea1_NicolasAlfaro_AprendizajeAutomatico

Object Detection

Dataset Versions

v1

2023-03-22 9:02pm

Generated on Mar 23, 2023

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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 87%
363Images
Valid Set 8%
34Images
Test Set 5%
19Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -21° and +21°
Exposure: Between -47% and +47%
Noise: Up to 5% of pixels