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2024-04-08 4:03am
v11
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8 months ago
2024-04-04 5:16pm
v10
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8 months ago
2024-04-04 9:03am
v9
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8 months ago
2024-04-04 8:59am
v8
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8 months ago
2024-04-03 5:03pm
v7
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8 months ago
2024-04-03 4:59pm
v6
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8 months ago
2024-04-03 4:45pm
v5
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8 months ago
2024-04-03 12:18am
v4
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8 months ago
2024-04-02 9:48pm
v3
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8 months ago
2024-04-02 9:43pm
v2
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8 months ago
2024-04-02 2:23pm
v1
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8 months ago
v5

2024-04-03 4:45pm

Generated on Apr 3, 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
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6797 Total Images

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Dataset Split

Train Set 91%
6210Images
Valid Set 9%
587Images
Test Set %
0Images

Preprocessing

Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±11° Vertical
Brightness: Between -30% and +30%
Blur: Up to 2.8px
Noise: Up to 1.25% of pixels
Cutout: 3 boxes with 6% size each
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Blur: Up to 2.5px

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