Dataset Versions

Versions
2024-10-26 7:09am
v28
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2 months ago
2024-08-18 8:37am
v27
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4 months ago
2024-08-18 8:35am
v26
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4 months ago
2024-08-17 8:25am
v24
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4 months ago
2024-08-17 7:56am
v23
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4 months ago
2024-08-17 7:56am
v22
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4 months ago
2024-08-17 6:44am
v21
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4 months ago
2024-08-17 6:33am
v20
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4 months ago
2024-08-17 4:21am
v19
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4 months ago
2024-08-16 12:44pm
v18
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4 months ago
2024-08-16 12:43pm
v17
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4 months ago
2024-08-11 8:44am
v15
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4 months ago
2024-08-11 6:49am
v14
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4 months ago
2024-08-11 6:47am
v13
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4 months ago
2024-08-11 6:42am
v12
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4 months ago
2024-07-14 10:23am
v11
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5 months ago
2024-07-10 6:20am
v10
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5 months ago
2024-07-10 4:23am
v9
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5 months ago
2024-07-10 4:05am
v8
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5 months ago
2024-07-09 2:25pm
v6
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5 months ago
2024-07-09 1:03pm
v4
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5 months ago
2024-07-09 11:56am
v3
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5 months ago
2024-07-09 9:09am
v2
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5 months ago
2024-07-09 5:49am
v1
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5 months ago
v17

2024-08-16 12:43pm

Generated on Aug 16, 2024
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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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510 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%
492Images
Valid Set 4%
18Images
Test Set %
0Images

Preprocessing

Static Crop: 10-65% Horizontal Region, 25-89% Vertical Region
Resize: Stretch to 230x180

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 0% Maximum Zoom
Brightness: Between 0% and +5%

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