Dataset Versions

Versions
2023-09-29 5:56pm
v23
·
a year ago
2023-09-26 3:08pm
v22
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a year ago
2023-09-26 2:59pm
v21
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a year ago
2023-09-23 2:20pm
v20
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a year ago
2023-09-22 7:53pm
v19
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a year ago
2023-09-22 7:37pm
v18
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a year ago
2023-09-22 7:27pm
v17
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a year ago
2023-09-22 3:43pm
v16
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a year ago
2023-09-21 10:18am
v15
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a year ago
2023-09-21 9:49am
v14
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a year ago
2023-09-20 10:51am
v13
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a year ago
2023-09-20 10:05am
v12
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a year ago
2023-08-29 10:37pm
v11
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a year ago
2023-08-28 10:57pm
v10
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a year ago
2023-08-28 2:20am
v9
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a year ago
2023-08-28 2:19am
v8
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a year ago
2023-08-28 2:19am
v7
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a year ago
2023-08-28 2:19am
v6
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a year ago
2023-08-28 2:18am
v5
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a year ago
2023-08-28 2:18am
v4
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a year ago
2023-08-28 2:18am
v3
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a year ago
2023-08-28 2:18am
v2
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a year ago
2023-08-28 2:13am
v1
·
a year ago
v21

2023-09-26 2:59pm

Generated on Sep 26, 2023
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
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126 Total Images

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Dataset Split

Train Set 90%
114Images
Valid Set 10%
12Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Brightness: Between -25% and +25%

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