Dataset Versions

Versions
2024-08-06 11:35pm
v47
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3 months ago
2024-05-11 7:30pm
v46
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6 months ago
2024-04-29 6:10pm
v45
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7 months ago
2024-03-08 2:02pm
v44
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8 months ago
2024-03-07 9:34am
v43
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8 months ago
2024-02-29 1:33pm
v42
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9 months ago
2024-02-07 10:52am
v41
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9 months ago
2024-02-05 3:38pm
v40
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10 months ago
2024-01-31 6:51pm
v39
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10 months ago
2024-01-30 4:45pm
v38
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10 months ago
2024-01-29 12:41pm
v37
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10 months ago
2024-01-26 11:47am
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10 months ago
2024-01-25 7:09pm
v35
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10 months ago
2024-01-19 3:32pm
v34
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10 months ago
2024-01-16 11:43am
v33
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10 months ago
2024-01-12 10:58am
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10 months ago
2024-01-11 5:11pm
v31
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10 months ago
2024-01-10 2:08pm
v30
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10 months ago
2024-01-08 1:38pm
v29
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10 months ago
2024-01-08 11:07am
v28
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10 months ago
2024-01-08 11:04am
v27
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10 months ago
2024-01-05 12:29pm
v26
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a year ago
2024-01-04 3:25pm
v25
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a year ago
2024-01-03 3:41pm
v24
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a year ago
2024-01-03 12:23pm
v23
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a year ago
2024-01-02 6:58pm
v22
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a year ago
2023-12-27 1:48pm
v21
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a year ago
2023-12-27 12:44pm
v20
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a year ago
2023-12-22 9:22am
v19
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a year ago
2023-12-20 10:16am
v18
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a year ago
2023-12-18 12:48pm
v17
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a year ago
2023-12-18 12:46pm
v16
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a year ago
2023-12-17 4:25pm
v15
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a year ago
2023-12-17 4:16pm
v14
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a year ago
2023-12-16 3:52am
v13
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a year ago
2023-12-16 2:47am
v12
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a year ago
2023-12-13 11:43am
v11
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a year ago
2023-12-13 10:07am
v10
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a year ago
2023-12-11 1:03pm
v9
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a year ago
2023-12-08 7:34pm
v8
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a year ago
2023-12-08 9:11am
v7
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a year ago
2023-12-07 9:48pm
v6
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a year ago
2023-12-07 7:04pm
v5
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a year ago
2023-12-06 4:03pm
v4
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a year ago
2023-12-06 4:02pm
v2
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a year ago
2023-12-06 2:43pm
v1
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a year ago
v16

2023-12-18 12:46pm

Generated on Dec 18, 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 99%
159Images
Valid Set %
0Images
Test Set 1%
2Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 5% of pixels

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