Dataset Versions

Versions
2024-10-11 5:14pm
v27
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2 months ago
2024-10-03 12:21pm
v26
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3 months ago
2024-10-03 12:05pm
v25
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3 months ago
2024-09-30 3:33pm
v24
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3 months ago
2024-09-30 3:28pm
v23
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3 months ago
2024-09-30 3:22pm
v22
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3 months ago
2024-09-30 7:23am
v21
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3 months ago
2024-09-26 10:47am
v20
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3 months ago
2024-09-25 4:26pm
v19
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3 months ago
2024-09-25 3:58pm
v18
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3 months ago
2024-09-25 3:55pm
v17
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3 months ago
2024-09-25 3:53pm
v16
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3 months ago
2024-09-25 3:49pm
v15
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3 months ago
2024-09-23 2:44pm
v14
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3 months ago
2024-09-23 2:21pm
v13
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3 months ago
2024-09-20 7:54am
v12
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3 months ago
2024-09-20 6:52am
v11
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3 months ago
2024-09-17 7:44am
v10
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3 months ago
2024-09-16 9:52pm
v8
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3 months ago
2024-09-16 9:39pm
v7
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3 months ago
2024-09-09 3:28pm
v6
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3 months ago
2024-09-09 3:22pm
v5
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3 months ago
2024-09-05 11:25pm
v4
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4 months ago
2024-09-05 6:00pm
v3
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4 months ago
2024-09-05 5:55pm
v2
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4 months ago
2024-09-02 8:59pm
v1
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4 months ago
v16

2024-09-25 3:53pm

Generated on Sep 25, 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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432 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 94%
405Images
Valid Set 6%
27Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1400x1000

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -12° and +12°
Brightness: Between -9% and +9%

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