Dataset Versions

Versions
2023-12-10 10:55pm
v49
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a year ago
2023-12-10 10:53pm
v48
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a year ago
2023-12-10 10:50pm
v47
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a year ago
2023-12-10 5:09pm
v46
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a year ago
2023-12-10 3:13pm
v45
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a year ago
2023-12-10 3:06pm
v44
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a year ago
2023-12-10 2:25pm
v43
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a year ago
2023-12-10 2:19pm
v42
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a year ago
2023-12-10 2:11pm
v41
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a year ago
2023-12-10 1:14am
v40
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a year ago
2023-12-10 1:12am
v39
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a year ago
2023-12-09 5:12pm
v38
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a year ago
2023-12-09 4:44pm
v37
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a year ago
2023-12-08 9:25pm
v36
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a year ago
2023-12-08 4:21pm
v35
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a year ago
2023-12-08 1:04am
v34
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a year ago
2023-12-08 12:18am
v33
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a year ago
2023-12-08 12:05am
v32
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a year ago
2023-12-07 10:31pm
v31
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a year ago
2023-12-07 10:29pm
v30
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a year ago
2023-12-07 8:14pm
v29
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a year ago
2023-12-07 7:38pm
v28
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a year ago
2023-12-07 12:39pm
v27
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a year ago
209- first proper split
v26
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a year ago
2023-12-06 12:18pm
v25
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a year ago
2023-12-06 12:17pm
v24
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a year ago
2023-12-06 12:14pm
v23
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a year ago
2023-12-06 12:11pm
v22
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a year ago
2023-12-01 9:10pm
v21
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a year ago
2023-11-30 11:40pm
v20
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a year ago
2023-11-30 1:55pm
v19
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a year ago
2023-11-28 8:32pm
v18
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a year ago
2023-11-28 8:06pm
v17
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a year ago
2023-11-28 7:20pm
v16
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a year ago
2023-11-28 6:59pm
v15
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a year ago
2023-11-28 6:55pm
v14
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a year ago
2023-11-28 6:45pm
v13
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a year ago
2023-11-28 6:30pm
v12
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a year ago
2023-11-28 6:25pm
v11
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a year ago
2023-11-28 11:03am
v10
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a year ago
2023-11-28 11:01am
v9
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a year ago
2023-11-28 10:28am
v8
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a year ago
2023-11-28 9:58am
v7
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a year ago
2023-11-28 9:12am
v6
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a year ago
2023-11-27 8:05pm
v5
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a year ago
2023-11-27 7:04pm
v4
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a year ago
2023-11-27 3:37pm
v3
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a year ago
2023-11-27 2:54pm
v2
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a year ago
2023-11-27 11:44am
v1
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a year ago
v47

2023-12-10 10:50pm

Generated on Dec 10, 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 71%
954Images
Valid Set 16%
211Images
Test Set 14%
185Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -30% and +30%
Brightness: Between -23% and +23%
Exposure: Between -8% and +8%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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