Manifestaciones y figuras rupestres

RFR

Object Detection

RFR Image Dataset

v2

2024-04-05 1:31am

Generated on Apr 5, 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.
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Dataset Split

Train Set 88%
6066Images
Valid Set 8%
575Images
Test Set 4%
287Images

Preprocessing

Resize: Fit within 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -14° and +14°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 22% of images
Hue: Between -15° and +15°
Exposure: Between -10% and +10%