Dataset Versions

Versions
2024-09-06 10:41am
v70
·
3 months ago
2024-08-14 4:24pm
v69
·
3 months ago
2024-08-13 12:09pm
v68
·
3 months ago
2024-08-12 10:55am
v67
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3 months ago
2024-07-10 1:32pm
v66
·
4 months ago
2024-07-10 11:43am
v65
·
4 months ago
2024-07-08 7:07pm
v64
·
4 months ago
V63 OKE
v63
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4 months ago
2024-07-07 8:43pm
v61
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4 months ago
2024-07-03 5:53pm
v60
·
5 months ago
like28
v59
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5 months ago
2024-06-18 6:36pm
v58
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5 months ago
2024-06-18 5:38pm
v57
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5 months ago
2024-06-17 7:29pm
v55
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5 months ago
2024-06-17 5:19pm
v54
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5 months ago
2024-06-16 10:27pm
v50
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5 months ago
2024-06-16 9:31pm
v49
·
5 months ago
less aug
v48
·
5 months ago
ep100 Variation
v47
·
5 months ago
2K-img 100Ep null contras
v45
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5 months ago
1.9K-img 100Ep null
v43
·
5 months ago
Bad -
v42
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5 months ago
2K-img 100Ep
v39
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5 months ago
2K-img 100Ep M
v38
·
5 months ago
1.9K-img 100Ep
v37
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5 months ago
1.9k-img 50Ep
v36
·
5 months ago
2K-img 100Ep
v34
·
5 months ago
900img N
v33
·
5 months ago
2024-06-08 4:55am
v32
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5 months ago
V30 M
v30
·
5 months ago
2024-06-05 4:45pm
v29
·
6 months ago
900img
v28
·
6 months ago
ep74Max
v27
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6 months ago
U Ep200 M null
v26
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6 months ago
2024-06-04 4:18am
v25
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6 months ago
L ep200
v24
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6 months ago
ep125 102 M
v23
·
6 months ago
ep125MAX M ND
v22
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6 months ago
ep100 M ND
v21
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6 months ago
ep200 M
v20
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6 months ago
ep150 M
v19
·
6 months ago
ep3 X
v18
·
6 months ago
ep10 L
v17
·
6 months ago
ep100 640 Crop M
v16
·
6 months ago
ep8 800 Crop S
v15
·
6 months ago
ep50 640 Crop S
v14
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6 months ago
epoch 10 crop M
v13
·
6 months ago
ep80 640 crop S
v12
·
6 months ago
ep 15 Fnull m
v9
·
6 months ago
ep 10 Fnull m
v8
·
6 months ago
epoch 10 m s800
v7
·
6 months ago
full train 10 ep aug-m
v6
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6 months ago
epoch 10 aug
v5
·
6 months ago
epoch 10
v4
·
6 months ago
2024-04-26 5:58pm
v3
·
7 months ago
2024-04-22 1:56pm
v2
·
7 months ago
v63

V63 OKE

Generated on Jul 7, 2024

Popular Download Formats

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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.

Dataset Split

Train Set 88%
2430Images
Valid Set 8%
233Images
Test Set 4%
113Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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