Dataset Versions

Versions
2023-05-04 2:01pm
v23
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2 years ago
2023-03-30 11:10am
v22
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2 years ago
2023-03-30 11:08am
v21
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2 years ago
2023-03-30 8:59am
v20
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2 years ago
2022-12-05 9:05pm
v19
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2 years ago
2022-12-05 9:05pm
v18
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2 years ago
2022-12-05 9:03pm
v17
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2 years ago
2022-12-04 9:57pm
v16
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2 years ago
2022-12-04 9:57pm
v15
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2 years ago
2022-12-04 9:56pm
v14
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2 years ago
2022-12-04 1:01am
v13
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2 years ago
2022-12-04 12:59am
v12
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2 years ago
2022-12-04 12:59am
v11
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2 years ago
2022-12-04 12:54am
v10
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2 years ago
2022-12-02 5:58pm
v9
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2 years ago
2022-12-02 5:57pm
v8
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2 years ago
2022-12-02 5:56pm
v7
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2 years ago
2022-12-02 5:55pm
v6
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2 years ago
2022-12-01 11:20pm
v5
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2 years ago
2022-12-01 11:20pm
v4
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2 years ago
2022-12-01 11:19pm
v3
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2 years ago
2022-12-01 11:19pm
v2
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2 years ago
2022-12-01 11:19pm
v1
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2 years ago
v9

2022-12-02 5:58pm

Generated on Dec 2, 2022
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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
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235 Total Images

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Dataset Split

Train Set 87%
204Images
Valid Set 12%
29Images
Test Set 1%
2Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -5° and +5°
Grayscale: Apply to 50% of images
Exposure: Between -10% and +10%
Blur: Up to 2px

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