Passenger2 Dataset

v6

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Generated on Oct 11, 2021

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 73%
3285Images
Valid Set 21%
938Images
Test Set 6%
250Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 15% of images
Hue: Between -20° and +20°
Saturation: Between -50% and +50%
Brightness: Between -35% and +35%
Exposure: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 1% of pixels
Cutout: 3 boxes with 10% size each

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