Mingg

BFMC2024_2

Object Detection

BFMC2024_2 Image Dataset

v4

2024-04-23 10:07am

Generated on Apr 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.
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Dataset Split

Train Set 93%
9345Images
Valid Set 6%
555Images
Test Set 1%
126Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Saturation: Between -5% and +5%
Brightness: Between -1% and +1%
Exposure: Between -5% and +5%
Blur: Up to 0.4px
Noise: Up to 0.1% of pixels

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