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2023-04-12 1:19pm
v14
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2 years ago
2023-04-12 2:07am
v13
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2 years ago
2023-04-11 2:30pm
v12
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2 years ago
2023-04-11 11:24am
v11
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2 years ago
2023-04-11 3:38am
v10
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2 years ago
2023-04-10 9:35pm
v9
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2 years ago
2023-04-09 5:01pm
v8
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2 years ago
2023-04-09 4:48pm
v7
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2 years ago
2023-04-09 12:41pm
v6
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2 years ago
dot yaml test
v5
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2 years ago
2023-04-09 2:39am
v4
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2 years ago
2023-04-07 3:06am
v1
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2 years ago
v6

2023-04-09 12:41pm

Generated on Apr 9, 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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2571 Total Images

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Dataset Split

Train Set 87%
2249Images
Valid Set 8%
214Images
Test Set 4%
108Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -20% and +20%
Blur: Up to 1.5px
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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