Dataset Versions

Versions
2023-03-15 4:15pm
v48
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2023-03-15 4:15pm
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2023-03-15 4:14pm
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2023-03-15 4:13pm
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2023-03-15 4:13pm
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2023-03-15 4:12pm
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2023-03-05 10:55pm
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2023-03-05 10:46pm
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2023-03-05 10:42pm
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2023-03-05 10:38pm
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2023-03-05 10:31pm
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2023-03-05 10:23pm
v30
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2023-03-05 10:23pm
v29
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2023-03-05 10:08pm
v28
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2023-03-02 11:41pm
v27
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2023-03-02 11:34pm
v26
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2023-03-02 11:30pm
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2023-03-02 11:26pm
v24
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2023-03-02 11:26pm
v23
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2023-03-02 11:26pm
v22
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2023-03-02 11:26pm
v21
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2023-03-02 11:20pm
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2023-03-02 11:16pm
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2023-03-02 11:09pm
v18
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2023-03-02 11:09pm
v17
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2023-03-02 11:09pm
v16
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2023-03-02 9:57pm
v15
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2023-03-02 9:48pm
v14
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2023-03-02 9:47pm
v13
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2023-03-02 10:51am
v12
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2023-03-01 11:54pm
v11
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2 years ago
2023-03-01 11:43pm
v10
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2 years ago
2023-03-01 11:17pm
v9
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2 years ago
2023-03-01 11:15pm
v8
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2 years ago
2023-03-01 10:36pm
v7
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2 years ago
2023-03-01 8:17pm
v5
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2 years ago
2023-03-01 5:27pm
v4
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2 years ago
2023-03-01 5:01pm
v3
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2 years ago
2023-02-12 9:03pm
v2
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2 years ago
2023-02-12 8:26pm
v1
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2 years ago
v18

2023-03-02 11:09pm

Generated on Mar 2, 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
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Saturation: Between -25% and +25%
Noise: Up to 1% of pixels
Bounding Box: Rotation: Between -5° and +5°

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