Dataset Versions

v12

team4_320imgSize_buildings

Generated on Apr 18, 2023

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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 85%
3342Images
Valid Set 9%
365Images
Test Set 6%
245Images

Preprocessing

Resize: Stretch to 320x320
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Rotation: Between -6° and +6°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -10% and +10%

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