Dataset Versions

Versions
2024-11-28 1:43pm
v65
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21 days ago
2024-11-28 1:43pm
v64
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21 days ago
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2024-11-28 1:39pm
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21 days ago
2024-11-28 1:36pm
v54
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21 days ago
2024-11-25 10:45am
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24 days ago
2024-11-22 1:21pm
v52
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a month ago
2024-11-21 4:05pm
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a month ago
2024-11-21 3:12pm
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a month ago
2024-11-19 9:45pm
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2024-11-19 9:17pm
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a month ago
2024-11-19 3:28pm
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2024-11-18 10:21pm
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2024-11-18 9:49pm
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a month ago
2024-09-18 11:50am
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3 months ago
2024-09-18 8:45am
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3 months ago
2024-09-18 7:17am
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3 months ago
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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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2024-08-09 11:01am
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2024-08-09 9:56am
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4 months ago
2024-08-08 3:16pm
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4 months ago
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4 months ago
2024-08-08 2:35pm
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4 months ago
2024-08-08 1:45pm
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4 months ago
2024-08-08 11:50am
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4 months ago
2024-08-08 11:25am
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4 months ago
2024-08-08 11:14am
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4 months ago
2024-08-08 11:01am
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4 months ago
2024-08-08 10:39am
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4 months ago
2024-08-08 10:18am
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4 months ago
2024-08-08 10:15am
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4 months ago
2024-08-05 1:49pm
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4 months ago
2024-08-05 1:26pm
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4 months ago
2024-08-05 1:11pm
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4 months ago
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
v14
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4 months ago
2024-08-05 12:09pm
v13
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4 months ago
2024-06-24 3:42pm
v12
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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
v10
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6 months ago
2024-06-24 12:42pm
v9
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6 months ago
2024-06-24 12:01pm
v8
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6 months ago
2024-06-24 11:42am
v7
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6 months ago
2024-06-24 10:17am
v6
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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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6 months ago
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
v49

2024-11-19 9:45pm

Generated on Nov 19, 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 95%
483Images
Valid Set 0%
2Images
Test Set 5%
25Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
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
Rotation: Between -14° and +14°
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 1.4% of pixels

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518 images 1 model