bssm small Dataset

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Versions
2024-01-21 1:28pm
v10
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6 months ago
2023-12-19 7:37pm
v5
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7 months ago
2023-12-17 2:17pm
v4
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7 months ago
2023-12-03 12:08am
v2
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7 months ago
v4

2023-12-17 2:17pm

Generated on Dec 17, 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.
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CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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878 Total Images

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Dataset Split

Train Set 86%
759Images
Valid Set 9%
75Images
Test Set 5%
44Images

Preprocessing

Resize: Stretch to 540x960
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±10° Horizontal, ±10° Vertical