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2024-11-28 5:16pm
v44
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a month ago
2023-04-06 10:36am
v43
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2 years ago
2023-04-05 6:12pm
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2023-03-30 11:25pm
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2023-01-03 3:01pm
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2 years ago
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v33
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2023-01-03 2:22pm
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2022-12-30 8:45pm
v31
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2022-12-15 9:26am
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2022-12-11 10:00am
v29
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2 years ago
2022-11-29 9:53am
v27
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2 years ago
2022-11-23 8:43pm
v20
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2 years ago
2022-11-19 3:56pm
v19
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2 years ago
2022-11-05 10:38am
v16
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2 years ago
2022-10-31 10:22pm
v15
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2 years ago
2022-10-25 5:43pm
v14
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2 years ago
2022-10-18 4:38pm
v13
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2 years ago
2022-10-18 4:06pm
v12
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2 years ago
2022-10-12 9:26pm
v11
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2 years ago
2022-10-09 11:21pm
v10
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2 years ago
2022-10-09 7:05pm
v9
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2 years ago
2022-09-29 3:11pm
v8
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2 years ago
2022-09-25 9:14am
v7
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2 years ago
2022-09-24 9:18pm
v6
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2 years ago
2022-09-22 5:59pm
v5
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2 years ago
2022-09-21 4:10pm
v4
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2 years ago
2022-09-20 10:28am
v3
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2 years ago
2022-09-19 10:06pm
v2
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2 years ago
v12

2022-10-18 4:06pm

Generated on Oct 18, 2022
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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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145 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 79%
115Images
Valid Set 15%
22Images
Test Set 6%
8Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 2
Grayscale: Apply to 50% of images

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