Dataset Versions

Versions
2023-11-06 11:32am
v44
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a year ago
2023-10-26 2:10pm
v43
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a year ago
2023-08-29 10:25am
v42
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a year ago
2023-08-28 11:38pm
v41
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2023-08-16 2:34pm
v40
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2023-08-16 2:29pm
v39
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a year ago
2023-08-16 2:24pm
v38
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a year ago
2023-08-10 11:34am
v37
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a year ago
2023-08-10 11:33am
v36
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a year ago
2023-08-10 11:27am
v35
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a year ago
2023-08-10 11:24am
v34
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a year ago
2023-08-04 8:41am
v33
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a year ago
2023-08-03 8:43am
v32
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a year ago
2023-08-03 8:40am
v31
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a year ago
2023-08-02 9:33pm
v30
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2023-08-01 10:09pm
v29
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a year ago
2023-08-01 9:57pm
v28
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a year ago
2023-08-01 9:42pm
v27
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a year ago
2023-07-31 9:11pm
v26
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a year ago
2023-07-31 9:09pm
v25
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a year ago
2023-07-31 9:08pm
v24
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a year ago
2023-07-31 9:05pm
v23
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a year ago
2023-07-31 9:03pm
v22
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a year ago
2023-07-31 9:00pm
v21
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a year ago
2023-07-31 4:20pm
v20
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a year ago
2023-07-31 4:15pm
v19
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a year ago
2023-07-31 2:51pm
v18
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a year ago
2023-07-31 2:45pm
v17
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a year ago
2023-07-31 10:20am
v16
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a year ago
2023-07-31 10:14am
v15
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a year ago
2023-07-25 3:07pm
v14
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2023-07-25 3:02pm
v13
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2023-07-24 9:46pm
v12
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2023-07-24 9:37pm
v11
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a year ago
2023-07-24 1:15pm
v10
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a year ago
2023-07-24 1:12pm
v9
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a year ago
2023-07-23 10:21pm
v8
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a year ago
2023-07-23 10:13pm
v7
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a year ago
2023-07-21 10:44am
v6
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a year ago
2023-07-21 10:39am
v5
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a year ago
2023-07-19 2:24pm
v4
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a year ago
2023-07-18 5:55pm
v3
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a year ago
2023-07-18 3:19pm
v2
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a year ago
2023-07-18 2:16pm
v1
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a year ago
v8

2023-07-23 10:21pm

Generated on Jul 23, 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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Dataset Split

Train Set 82%
894Images
Valid Set 18%
199Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Mosaic: Applied

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6.2k images