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2024-09-06 10:41am
v70
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3 months ago
2024-08-14 4:24pm
v69
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3 months ago
2024-08-13 12:09pm
v68
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3 months ago
2024-08-12 10:55am
v67
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3 months ago
2024-07-10 1:32pm
v66
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4 months ago
2024-07-10 11:43am
v65
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4 months ago
2024-07-08 7:07pm
v64
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5 months ago
V63 OKE
v63
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5 months ago
2024-07-07 8:43pm
v61
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5 months ago
2024-07-03 5:53pm
v60
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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
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5 months ago
less aug
v48
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5 months ago
ep100 Variation
v47
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5 months ago
2K-img 100Ep null contras
v45
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5 months ago
1.9K-img 100Ep null
v43
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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
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5 months ago
1.9K-img 100Ep
v37
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6 months ago
1.9k-img 50Ep
v36
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6 months ago
2K-img 100Ep
v34
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6 months ago
900img N
v33
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6 months ago
2024-06-08 4:55am
v32
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6 months ago
V30 M
v30
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6 months ago
2024-06-05 4:45pm
v29
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6 months ago
900img
v28
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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
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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
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6 months ago
ep3 X
v18
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6 months ago
ep10 L
v17
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6 months ago
ep100 640 Crop M
v16
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6 months ago
ep8 800 Crop S
v15
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6 months ago
ep50 640 Crop S
v14
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6 months ago
epoch 10 crop M
v13
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6 months ago
ep80 640 crop S
v12
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6 months ago
ep 15 Fnull m
v9
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6 months ago
ep 10 Fnull m
v8
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6 months ago
epoch 10 m s800
v7
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6 months ago
full train 10 ep aug-m
v6
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6 months ago
epoch 10 aug
v5
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6 months ago
epoch 10
v4
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6 months ago
2024-04-26 5:58pm
v3
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7 months ago
2024-04-22 1:56pm
v2
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7 months ago
v65

2024-07-10 11:43am

Generated on Jul 10, 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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2867 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 87%
2507Images
Valid Set 8%
238Images
Test Set 4%
122Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white 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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