Dataset Versions

Versions
2023-07-22 2:07pm
v50
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a year ago
2023-07-22 2:07pm
v49
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a year ago
2023-07-22 2:07pm
v48
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2023-07-22 2:06pm
v47
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2023-07-22 2:05pm
v46
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2023-07-22 2:05pm
v45
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2023-07-20 11:52am
v44
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2023-07-18 12:18pm
v43
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2023-07-18 12:17pm
v42
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2023-07-18 12:16pm
v41
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2023-07-18 12:15pm
v40
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2023-07-18 12:14pm
v39
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2023-07-16 5:23pm
v38
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2023-07-16 5:23pm
v37
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2023-07-16 5:21pm
v36
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2023-07-16 5:20pm
v35
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2023-07-16 5:19pm
v34
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2023-07-16 5:18pm
v33
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2023-07-16 5:16pm
v32
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2023-07-16 4:06pm
v31
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2023-07-15 10:06pm
v30
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2023-07-13 11:03pm
v29
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2023-07-13 11:02pm
v28
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2023-07-13 11:01pm
v27
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2023-07-13 12:46pm
v26
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2023-07-13 12:35pm
v25
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2023-07-13 12:33pm
v24
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2023-07-10 10:48am
v23
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2 years ago
2023-07-10 10:47am
v22
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2 years ago
2023-07-10 10:03am
v21
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2 years ago
2023-07-10 10:02am
v20
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2 years ago
2023-07-10 10:00am
v19
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2 years ago
2023-07-10 9:59am
v18
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2 years ago
2023-07-06 7:47pm
v17
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2 years ago
2023-07-06 7:45pm
v16
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2 years ago
2023-07-06 7:45pm
v15
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2 years ago
2023-07-06 7:44pm
v14
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2 years ago
2023-07-06 7:44pm
v13
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2 years ago
2023-07-06 7:27pm
v12
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2 years ago
2023-07-06 7:26pm
v11
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2 years ago
2023-07-06 7:25pm
v10
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2 years ago
2023-07-06 7:23pm
v9
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2 years ago
2023-07-06 7:20pm
v8
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2 years ago
2023-07-06 7:18pm
v7
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2 years ago
2023-07-06 7:16pm
v6
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2 years ago
2023-07-06 7:15pm
v5
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2 years ago
2023-07-06 7:13pm
v4
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2 years ago
2023-07-06 7:11pm
v3
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2 years ago
2023-07-06 7:09pm
v2
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2 years ago
2023-07-06 10:30am
v1
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2 years ago
v35

2023-07-16 5:20pm

Generated on Jul 16, 2023

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 87%
1296Images
Valid Set 8%
123Images
Test Set 4%
63Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -65% and +65%