Dataset Versions

Versions
2022-09-22 8:33pm
v55
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2 years ago
2022-09-21 10:11pm
v54
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2 years ago
2022-09-21 1:14am
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2 years ago
2022-09-19 7:44pm
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2022-09-19 7:37pm
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2022-09-19 7:36pm
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2022-09-19 7:33pm
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2 years ago
2022-09-19 7:32pm
v22
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2 years ago
2022-09-19 7:32pm
v21
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2 years ago
2022-09-19 7:30pm
v20
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2022-09-19 7:30pm
v19
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2022-09-19 7:29pm
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v15
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2022-09-19 7:28pm
v14
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2022-09-19 7:28pm
v13
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2022-09-19 7:27pm
v12
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2 years ago
2022-09-19 7:27pm
v11
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2 years ago
2022-09-19 7:25pm
v10
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2 years ago
2022-09-19 7:25pm
v9
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2 years ago
2022-09-19 7:21pm
v8
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2 years ago
2022-09-14 7:40pm
v7
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2 years ago
2022-09-14 7:38pm
v6
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2 years ago
2022-09-14 7:33pm
v5
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2 years ago
2022-09-13 9:36pm
v4
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2 years ago
2022-09-12 8:43pm
v3
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2 years ago
2022-09-12 10:03am
v2
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2 years ago
2022-09-10 10:35pm
v1
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2 years ago
v22

2022-09-19 7:32pm

Generated on Sep 19, 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.

Preprocessing

Static Crop: 25-100% Horizontal Region, 25-74% Vertical Region
Modify Classes: 0 remapped, 8 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 2% Maximum Zoom
Rotation: Between -3° and +3°
Shear: ±5° Horizontal, ±4° Vertical
Saturation: Between -34% and +34%
Exposure: Between -6% and +6%

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