Dataset Versions

Versions
2024-02-19 1:48pm
v56
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9 months ago
2024-02-19 1:47pm
v55
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9 months ago
2024-02-19 1:45pm
v54
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9 months ago
2024-02-19 1:45pm
v53
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9 months ago
2023-12-11 12:39am
v52
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a year ago
2023-12-10 9:32pm
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a year ago
2023-12-10 9:20pm
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a year ago
2023-12-10 8:49pm
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2023-12-07 12:08pm
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2023-12-07 11:16am
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a year ago
2023-12-04 4:02pm
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2023-12-04 3:59pm
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2023-12-04 3:59pm
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2023-12-04 3:59pm
v43
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a year ago
2023-12-04 3:58pm
v42
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a year ago
2023-12-04 3:50pm
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v40
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v39
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a year ago
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v38
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a year ago
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v37
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v36
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v34
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v33
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v32
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a year ago
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v31
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a year ago
2023-12-04 3:47pm
v30
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a year ago
2023-12-04 3:43pm
v29
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a year ago
2023-12-04 3:43pm
v28
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a year ago
2023-12-04 3:42pm
v27
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2023-12-04 3:41pm
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2023-12-04 3:41pm
v25
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2023-12-04 3:39pm
v24
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a year ago
2023-12-04 3:37pm
v23
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a year ago
2023-12-04 3:33pm
v22
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a year ago
2023-12-04 2:54pm
v21
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a year ago
2023-11-27 2:39pm
v20
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a year ago
2023-11-27 2:38pm
v19
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a year ago
2023-11-27 2:37pm
v18
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a year ago
2023-11-27 2:36pm
v17
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a year ago
2023-11-27 2:34pm
v16
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a year ago
2023-11-27 2:32pm
v15
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a year ago
2023-11-20 1:14pm
v14
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a year ago
2023-11-20 1:14pm
v13
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a year ago
2023-11-20 11:14am
v12
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a year ago
2023-11-17 3:17pm
v11
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a year ago
2023-11-17 1:31pm
v10
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a year ago
2023-11-16 1:11pm
v9
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a year ago
2023-11-16 12:30pm
v8
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a year ago
2023-11-13 4:03pm
v7
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a year ago
2023-11-13 3:44pm
v6
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a year ago
2023-11-10 9:39am
v5
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a year ago
2023-11-09 11:31pm
v4
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a year ago
2023-11-02 9:50am
v3
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a year ago
2023-11-02 9:35am
v2
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a year ago
2023-11-01 4:12pm
v1
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a year ago
v29

2023-12-04 3:43pm

Generated on Dec 4, 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 92%
1349Images
Valid Set 8%
123Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

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