Dataset Versions

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2024-05-16 11:24pm
v26
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7 months ago
2024-05-02 9:50pm
v25
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8 months ago
2024-05-01 2:06pm
v24
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8 months ago
2024-04-28 3:39pm
v23
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8 months ago
2024-04-27 11:19pm
v22
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8 months ago
2024-04-27 11:13pm
v21
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8 months ago
2024-04-27 10:49pm
v20
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8 months ago
2024-04-27 9:27pm
v19
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8 months ago
2024-04-22 9:52am
v18
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8 months ago
2024-04-21 10:46pm
v17
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8 months ago
2024-04-21 10:30pm
v16
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8 months ago
2024-04-21 9:45pm
v15
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8 months ago
2024-04-21 9:02pm
v14
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8 months ago
2024-04-21 8:36pm
v13
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8 months ago
2024-04-20 12:47am
v12
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8 months ago
2024-04-19 9:50pm
v11
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8 months ago
2024-04-15 7:51pm
v10
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8 months ago
2024-04-14 1:27pm
v9
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8 months ago
2024-04-14 1-15pm
v8
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8 months ago
2024-04-14 1:11pm
v7
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8 months ago
2024-04-13 12:08pm
v6
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8 months ago
2024-04-13 11:46am
v5
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8 months ago
2024-04-12 10:23pm
v4
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8 months ago
2024-04-09 4:37pm
v3
·
9 months ago
2024-03-01 9:46pm
v2
·
10 months ago
v26

2024-05-16 11:24pm

Generated on May 16, 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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4563 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 88%
3996Images
Valid Set 8%
383Images
Test Set 4%
184Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Saturation: Between -25% and +25%
Brightness: Between -23% and +23%
Exposure: Between -6% and +6%
Blur: Up to 1px
Noise: Up to 1.76% of pixels

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