Dataset Versions

v2

Ciamis-Mega-Merak-3Set

Generated on Oct 21, 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
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Dataset Split

Train Set 88%
294Images
Valid Set 6%
21Images
Test Set 6%
21Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -15% and +15%

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