Rido Fajar Rachmadi

Spesial Project

Object Detection

Spesial Project Image Dataset

v4

2024-06-23 11:30am

Generated on Jun 23, 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
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 80%
2784Images
Valid Set 14%
480Images
Test Set 6%
224Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 4 rows x 4 columns

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Exposure: Between -10% and +10%
Blur: Up to 2.9px