병합용 프로젝트 - 1215 (kt 제외)

Object Detection

Dataset Versions

v3

2024-12-15 2:05pm

Generated on Dec 15, 2024

Popular Download Formats

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%
1968Images
Valid Set 9%
230Images
Test Set 10%
249Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Noise: Up to 1.01% of pixels

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