Dataset Versions

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Versions
2023-11-23 9:40am
v31
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a year ago
2023-11-23 8:49am
v30
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a year ago
2023-11-23 6:55am
v29
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a year ago
2023-11-23 1:36am
v28
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a year ago
2023-11-23 1:19am
v27
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a year ago
2023-11-22 11:41pm
v26
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a year ago
2023-11-22 11:34pm
v25
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a year ago
2023-11-22 8:35pm
v24
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a year ago
2023-11-22 9:48am
v23
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a year ago
2023-11-22 6:31am
v22
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a year ago
2023-11-22 12:54am
v21
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a year ago
2023-11-21 10:57pm
v20
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a year ago
2023-11-21 10:42pm
v19
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a year ago
2023-11-21 10:11pm
v18
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a year ago
2023-11-21 10:09pm
v17
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a year ago
2023-11-21 10:04pm
v16
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a year ago
2023-11-21 10:03pm
v15
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a year ago
2023-11-21 9:56pm
v14
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a year ago
2023-11-21 5:47pm
v13
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a year ago
2023-11-21 5:37pm
v12
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a year ago
2023-11-21 5:23pm
v11
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a year ago
2023-11-21 4:56pm
v10
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a year ago
2023-11-21 3:18pm
v9
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a year ago
2023-11-21 3:18pm
v8
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a year ago
2023-11-21 3:15pm
v7
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a year ago
2023-11-21 7:01am
v6
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a year ago
2023-11-21 6:12am
v5
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a year ago
2023-11-21 5:44am
v4
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a year ago
2023-11-20 10:06pm
v3
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a year ago
2023-11-20 10:04pm
v2
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a year ago
2023-11-20 9:57pm
v1
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a year ago
v12

2023-11-21 5:37pm

Generated on Nov 21, 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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30 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%
28Images
Valid Set 3%
1Images
Test Set 3%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x480

Augmentations

Outputs per training example: 2
Grayscale: Apply to 25% of images

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