Skripsi Dataset

v2

2024-05-28 12:21am

Generated on May 27, 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 87%
5169Images
Valid Set 6%
367Images
Test Set 6%
380Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 2% of pixels
Bounding Box: Brightness: Between -25% and +25%

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