Dataset Versions

Versions
2022-02-15 4:51pm
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3 years ago
2022-02-14 10:57am
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2022-02-11 2:11pm
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2022-02-11 1:08pm
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2022-02-10 3:08pm
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2022-02-10 12:51pm
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2022-02-10 10:05am
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2022-02-10 9:18am
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2022-02-09 4:56pm
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2022-02-09 4:44pm
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2022-02-09 4:43pm
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2022-02-07 9:27am
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2022-02-04 2:04pm
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2022-02-04 1:36pm
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2022-02-04 1:06pm
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2022-02-04 11:04am
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2022-01-31 9:38am
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2022-01-28 2:51pm
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2022-01-28 11:29am
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2022-01-28 10:53am
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2022-01-26 4:33pm
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2022-01-26 1:23pm
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2022-01-26 12:34pm
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2022-01-24 2:46pm
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2022-01-24 2:26pm
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2022-01-24 11:52am
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2022-01-24 11:08am
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2022-01-24 11:08am
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2022-01-21 4:34pm
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2022-01-21 1:56pm
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2022-01-21 1:52pm
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2022-01-20 4:06pm
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2022-01-20 12:47pm
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2022-01-19 12:10pm
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2022-01-19 9:41am
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2022-01-18 3:46pm
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2022-01-18 3:41pm
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2022-01-18 2:21pm
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2022-01-18 11:58am
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2022-01-17 3:40pm
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2022-01-17 3:12pm
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2022-01-17 3:00pm
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2022-01-17 1:53pm
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2022-01-14 4:37pm
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2022-01-14 2:49pm
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2022-01-14 1:05pm
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2022-01-13 4:23pm
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2022-01-13 3:50pm
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v33

2022-01-24 11:08am

Generated on Jan 24, 2022

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 42%
474Images
Valid Set 5%
52Images
Test Set 4%
44Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Noise: Up to 10% of pixels

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