Dataset Versions

Versions
2023-05-31 10:50pm
v37
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2 years ago
2023-05-28 1:07pm
v35
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2 years ago
2023-05-27 10:17am
v34
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2 years ago
2023-05-11 3:11pm
v33
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2 years ago
2023-05-04 2:05pm
v32
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2 years ago
2023-04-29 5:43pm
v31
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2 years ago
2023-04-29 11:57am
v30
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2 years ago
2023-04-23 9:50am
v27
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2 years ago
2023-04-19 1:36pm
v25
·
2 years ago
autolabeleld-edited
v24
·
2 years ago
autolabeleld-edited
v23
·
2 years ago
2023-04-13 8:59am
v22
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2 years ago
2023-04-12 5:53pm
v21
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2 years ago
2023-04-12 10:40am
v20
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2 years ago
2023-04-11 4:07pm
v17
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2 years ago
auto-labelled-edited
v16
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2 years ago
2023-04-07 3:13pm
v15
·
2 years ago
2023-04-07 11:43am
v14
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2 years ago
2023-04-07 10:19am
v13
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2 years ago
2023-04-06 10:45am
v12
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2 years ago
2023-04-05 10:30am
v11
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2 years ago
2023-04-04 2:37pm
v10
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2 years ago
2023-04-04 12:35pm
v9
·
2 years ago
2023-03-17 9:39am
v6
·
2 years ago
v11

2023-04-05 10:30am

Generated on Apr 5, 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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614 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 80%
492Images
Valid Set 20%
122Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Flip: Horizontal

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