Dataset Versions

Versions
2024-11-28 1:43pm
v65
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21 days ago
2024-11-28 1:43pm
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2024-11-28 1:36pm
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21 days ago
2024-11-25 10:45am
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24 days ago
2024-11-22 1:21pm
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a month ago
2024-11-21 4:05pm
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2024-09-18 11:50am
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3 months ago
2024-09-18 8:45am
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3 months ago
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3 months ago
2024-09-03 5:33am
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4 months ago
2024-08-09 11:44am
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2024-08-08 11:50am
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2024-08-05 1:49pm
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2024-08-05 1:11pm
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2024-08-05 1-01pm
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4 months ago
2024-08-05 12:37pm
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4 months ago
2024-08-05 12:35pm
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4 months ago
2024-08-05 12:09pm
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4 months ago
2024-06-24 3:42pm
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6 months ago
2024-06-24 3:04pm
v11
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6 months ago
2024-06-24 1:21pm
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6 months ago
2024-06-24 12:42pm
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6 months ago
2024-06-24 12:01pm
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6 months ago
2024-06-24 11:42am
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6 months ago
2024-06-24 10:17am
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6 months ago
2024-06-24 9:35am
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6 months ago
2024-06-24 6:50am
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6 months ago
2024-06-24 5:52am
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2024-06-24 5:50am
v2
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6 months ago
2024-06-24 5:48am
v1
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6 months ago
v15

2024-08-05 12:37pm

Generated on Aug 5, 2024

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 86%
36Images
Valid Set 7%
3Images
Test Set 7%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 10% Minimum Zoom, 30% Maximum Zoom
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 1.45% of pixels

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