Dataset Versions

Versions
2023-11-12 7:37pm
v54
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a year ago
2023-11-12 7:36pm
v53
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a year ago
2023-11-12 7:34pm
v52
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a year ago
2023-11-12 7:16pm
v51
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a year ago
2023-11-12 6:25pm
v50
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a year ago
2023-11-12 6:24pm
v49
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a year ago
2023-11-12 6:16pm
v48
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a year ago
2023-11-12 6:14pm
v47
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a year ago
2023-11-12 6:13pm
v46
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a year ago
2023-11-12 6:06pm
v45
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a year ago
2023-11-12 5:59pm
v44
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a year ago
2023-11-12 5:58pm
v43
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a year ago
2023-11-12 5:56pm
v42
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a year ago
2023-11-12 5:50pm
v41
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a year ago
2023-11-12 5:50pm
v40
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a year ago
2023-11-12 5:49pm
v39
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a year ago
2023-11-12 5:47pm
v38
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a year ago
2023-11-12 5:43pm
v37
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a year ago
2023-11-12 5:41pm
v36
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a year ago
2023-11-12 5:41pm
v35
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a year ago
2023-11-12 5:39pm
v34
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a year ago
2023-11-12 5:38pm
v33
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a year ago
2023-11-12 5:36pm
v32
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a year ago
2023-11-12 5:34pm
v31
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a year ago
2023-11-12 5:33pm
v30
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a year ago
2023-11-12 5:31pm
v29
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a year ago
2023-11-12 4:32pm
v28
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a year ago
2023-11-12 4:31pm
v27
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a year ago
2023-11-12 4:30pm
v26
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a year ago
2023-11-12 4:16pm
v25
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a year ago
2023-11-12 3:56pm
v24
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a year ago
2023-11-12 3:46pm
v23
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a year ago
2023-11-12 3:44pm
v22
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a year ago
2023-11-12 3:36pm
v21
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a year ago
2023-11-12 3:29pm
v20
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a year ago
2023-11-12 3:16pm
v19
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a year ago
2023-11-12 3:10pm
v18
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a year ago
2023-11-12 3:07pm
v17
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a year ago
2023-11-12 2:48pm
v16
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a year ago
2023-11-12 2:34pm
v15
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a year ago
2023-11-12 2:33pm
v14
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a year ago
2023-11-12 2:16pm
v13
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a year ago
2023-11-12 2:12pm
v12
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a year ago
2023-11-12 2:09pm
v11
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a year ago
2023-11-12 1:55pm
v10
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a year ago
2023-11-12 1:54pm
v9
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a year ago
2023-11-12 1:53pm
v8
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a year ago
2023-11-12 1:51pm
v7
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a year ago
2023-11-12 1:22pm
v6
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a year ago
2023-11-12 10:32am
v5
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a year ago
2023-11-11 7:30pm
v4
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a year ago
2023-11-11 7:08pm
v3
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a year ago
2023-11-11 7:06pm
v2
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a year ago
2023-11-11 6:27pm
v1
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a year ago
v18

2023-11-12 3:10pm

Generated on Nov 12, 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.

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Bounding Box: Exposure: Between -43% and +43%

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