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2023-02-22 12:05pm
v24
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2 years ago
2023-02-22 10:33am
v23
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2 years ago
2023-02-21 1:44pm
v22
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2 years ago
2023-02-21 9:44am
v21
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2 years ago
2023-02-21 9:19am
v20
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2 years ago
2023-02-20 5:24pm
v19
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2 years ago
2023-02-20 3:23pm
v18
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2 years ago
2023-02-20 2:58pm
v16
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2 years ago
2023-02-20 2:49pm
v15
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2 years ago
2023-02-20 2:48pm
v14
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2 years ago
2023-02-20 1:47pm
v13
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2 years ago
2023-02-20 12:38pm
v12
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2 years ago
2023-02-18 11:27am
v11
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2 years ago
2023-02-18 10:56am
v10
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2 years ago
2023-02-18 10:24am
v9
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2 years ago
2023-02-18 9:53am
v8
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2 years ago
2023-02-17 8:25pm
v7
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2 years ago
2023-02-17 7:52pm
v6
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2 years ago
2023-02-17 7:39pm
v5
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2 years ago
2023-02-17 6:36pm
v4
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2 years ago
2023-02-17 5:58pm
v3
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2 years ago
2023-02-17 4:26pm
v2
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2 years ago
2023-02-17 3:38pm
v1
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2 years ago
v13

2023-02-20 1:47pm

Generated on Feb 20, 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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331 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 100%
330Images
Valid Set 0%
1Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical
Bounding Box: Brightness: Between -10% and +10%
Bounding Box: Blur: Up to 0.25px
Bounding Box: Noise: Up to 4% of pixels

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