Dataset Versions

Versions
2023-09-17 5:20pm
v109
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a year ago
2023-09-17 4:59pm
v108
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2023-09-17 4:58pm
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2023-09-15 2:45pm
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2023-09-14 8:03pm
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2023-08-29 1:17pm
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v11
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2023-08-07 4:55pm
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v9
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2023-08-07 1:23pm
v8
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2023-07-18 1:46pm
v7
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2023-07-15 2:42pm
v6
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2023-07-14 1:54pm
v5
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2023-07-14 1:51pm
v4
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2023-07-14 1:47pm
v3
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2023-07-12 2:55pm
v2
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a year ago
2023-07-12 2:08pm
v1
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a year ago
v46

2023-08-24 9:14pm

Generated on Aug 24, 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 65%
172Images
Valid Set 21%
55Images
Test Set 14%
36Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Crop: 20% Minimum Zoom, 70% Maximum Zoom

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