Dataset Versions

Versions
2022-12-14 3:27pm
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2 years ago
2022-12-12 3:14pm
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2022-12-09 4:04pm
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2022-12-05 10:55am
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2022-12-02 3:04pm
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2022-12-02 10:31am
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2022-12-01 2:24pm
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2022-12-01 7:26pm
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2022-12-01 6:50pm
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2022-11-30 10:44am
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2022-11-29 4:26pm
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2022-11-28 5:08pm
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2022-11-28 5:08pm
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2022-11-28 5:08pm
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2022-11-28 1:24pm
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2022-11-28 10:12am
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2022-11-25 4:19pm
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2022-11-24 5:28pm
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2022-11-24 5:22pm
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2022-11-24 5:07pm
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2022-11-24 4:37pm
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2022-11-24 11:55am
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2022-11-23 11:06am
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2022-11-23 10:43am
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2022-11-22 4:20pm
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2022-11-22 4:05pm
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2022-11-22 2:16pm
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2022-11-22 2:16pm
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2022-11-22 12:06pm
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2022-11-22 11:02am
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2022-11-22 10:58am
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2022-11-17 5:11pm
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2022-11-17 4:21pm
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2022-11-17 3:30pm
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2022-11-17 2:29pm
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2022-11-17 12:21pm
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2022-11-17 11:54am
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2022-11-17 10:57am
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2022-11-16 1:40pm
v3
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2022-11-16 11:54am
v2
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2022-11-16 11:37am
v1
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2 years ago
v1

2022-11-16 11:37am

Generated on Nov 16, 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
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Dataset Split

Train Set 84%
162Images
Valid Set 10%
19Images
Test Set 6%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Bounding Box: Brightness: Between -25% and +25%

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