Dataset Versions

Versions
2024-06-15 6:22am
v26
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6 months ago
2024-06-15 6:08am
v25
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6 months ago
2024-06-15 6:06am
v24
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6 months ago
2024-06-13 12:25pm
v23
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6 months ago
2024-06-13 12:24pm
v22
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6 months ago
2024-06-13 12:20pm
v21
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6 months ago
2024-06-05 5:28pm
v20
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6 months ago
2024-06-05 5:17pm
v19
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6 months ago
2024-06-05 5:15pm
v18
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6 months ago
2024-06-05 5:07pm
v17
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6 months ago
2024-06-05 3:46pm
v16
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6 months ago
2024-05-31 2:24pm
v15
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7 months ago
2024-04-30 10:42am
v14
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8 months ago
2024-04-29 10:59am
v13
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8 months ago
2024-04-29 10:48am
v12
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8 months ago
2023-10-26 9:30am
v11
·
a year ago
2023-10-09 11:37am
v10
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a year ago
2023-10-09 11:33am
v9
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a year ago
2023-09-17 9:37pm
v8
·
a year ago
2023-09-04 11:12am
v7
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a year ago
2023-09-03 3:32pm
v6
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a year ago
2023-09-03 9:30am
v5
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a year ago
2023-08-29 8:19pm
v4
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a year ago
2023-08-28 9:29pm
v3
·
a year ago
2023-08-26 9:39pm
v2
·
a year ago
2023-08-20 10:14pm
v1
·
a year ago
v8

2023-09-17 9:37pm

Generated on Sep 17, 2023
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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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7048 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 93%
6549Images
Valid Set 5%
328Images
Test Set 2%
171Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x720

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical

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