Dataset Versions

v2

2024-11-17 12:45pm

Generated on Nov 17, 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 87%
600Images
Valid Set 9%
60Images
Test Set 4%
28Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Dynamic Crop: Class: banana
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Cutout: 3 boxes with 10% size each

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