Dataset Versions

Versions
2023-09-25 5:21am
v29
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a year ago
2023-09-25 5:21am
v28
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a year ago
2023-09-25 5:21am
v27
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a year ago
2023-09-25 5:21am
v26
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a year ago
2023-09-25 5:21am
v25
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a year ago
2023-09-25 3:02am
v24
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a year ago
2023-09-25 3:02am
v23
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a year ago
2023-09-25 3:02am
v22
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a year ago
2023-09-25 3:01am
v21
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a year ago
2023-09-23 2:29am
v20
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a year ago
2023-09-23 2:29am
v19
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a year ago
2023-09-23 2:29am
v18
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a year ago
2023-09-23 2:29am
v17
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a year ago
2023-09-23 12:45am
v16
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a year ago
2023-09-20 11:50pm
v15
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a year ago
2023-09-20 11:48pm
v13
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a year ago
2023-09-20 11:48pm
v12
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a year ago
2023-09-20 11:48pm
v11
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a year ago
2023-09-20 11:47pm
v10
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a year ago
2023-09-19 6:05pm
v9
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a year ago
2023-09-19 5:59pm
v8
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a year ago
2023-09-19 5:59pm
v7
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a year ago
2023-09-19 5:59pm
v6
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a year ago
2023-09-19 5:59pm
v5
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a year ago
2023-09-19 4:43pm
v4
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a year ago
2023-09-19 4:43pm
v3
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a year ago
2023-09-19 4:43pm
v2
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a year ago
2023-09-19 4:42pm
v1
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a year ago
v20

2023-09-23 2:29am

Generated on Sep 22, 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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495 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%
495Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px
Noise: Up to 5% of pixels

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