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2024-07-21 2:11am
v12
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4 months ago
2024-07-11 3:02am
v11
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4 months ago
2024-07-10 6:49am
v10
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4 months ago
2024-07-09 6:51pm
v9
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4 months ago
2024-07-09 11:01am
v8
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4 months ago
2024-07-07 1:01am
v7
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4 months ago
2024-06-20 9:17am
v6
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5 months ago
2024-06-07 9:31am
v5
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5 months ago
2024-05-27 11:21am
v4
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6 months ago
2024-05-16 1:49pm
v3
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6 months ago
2024-05-08 1:31pm
v2
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6 months ago
2024-05-08 11:29am
v1
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6 months ago
v5

2024-06-07 9:31am

Generated on Jun 7, 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.
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1002 Total Images

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Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image

Dataset Split

Train Set 94%
938Images
Valid Set 6%
64Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.1% of pixels

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