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2024-01-12 9:27am
v26
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a year ago
2024-01-11 1:41pm
v25
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2024-01-11 1:39pm
v24
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2024-01-11 1:06pm
v23
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2024-01-11 12:28pm
v22
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2024-01-11 12:23pm
v21
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2024-01-11 12:20pm
v20
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2024-01-11 12:19pm
v19
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a year ago
2024-01-11 12:18pm
v18
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a year ago
2024-01-11 9:01am
v17
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2024-01-11 8:45am
v16
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a year ago
2024-01-11 8:32am
v15
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a year ago
2023-12-08 10:02am
v14
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a year ago
2023-11-29 3:32pm
v13
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a year ago
2023-11-29 3:27pm
v12
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a year ago
2023-11-29 3:26pm
v11
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a year ago
2023-11-29 3:13pm
v10
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a year ago
2023-11-29 3:06pm
v9
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a year ago
2023-11-29 12:02pm
v8
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a year ago
2023-11-29 11:21am
v7
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a year ago
2023-11-29 11:02am
v6
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a year ago
2023-11-29 10:59am
v5
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a year ago
2023-11-29 10:57am
v4
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a year ago
2023-11-29 10:56am
v3
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a year ago
2023-11-29 10:55am
v2
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a year ago
2023-11-29 10:54am
v1
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a year ago
v11

2023-11-29 3:26pm

Generated on Nov 29, 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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25 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 96%
24Images
Valid Set 4%
1Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Brightness: Between -25% and +25%

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