Dataset Versions

v9

70images-11kernel-512-efficientdet

Generated on Sep 5, 2022

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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
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Dataset Split

Train Set 88%
147Images
Valid Set 8%
14Images
Test Set 4%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 512x512

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical

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