ways to test simulated data quality
$begingroup$
I have a huge data set of logistic objects which I generated by creating a 3D model and rendering it in blender. In order to test the generated data, I've downloaded some images. The simulated data set contains around 5000 high-resolution images and around 1000 images of the actual object.
Now I would like to know the quality of my simulated data. I am new to ML and CNN.
1.Are there any specific models to test this kind of data?
2.Should I train with my simulated data and test with actual data or vice-versa which would give me a better way to find the quality of my data ?
data
New contributor
$endgroup$
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$begingroup$
I have a huge data set of logistic objects which I generated by creating a 3D model and rendering it in blender. In order to test the generated data, I've downloaded some images. The simulated data set contains around 5000 high-resolution images and around 1000 images of the actual object.
Now I would like to know the quality of my simulated data. I am new to ML and CNN.
1.Are there any specific models to test this kind of data?
2.Should I train with my simulated data and test with actual data or vice-versa which would give me a better way to find the quality of my data ?
data
New contributor
$endgroup$
add a comment |
$begingroup$
I have a huge data set of logistic objects which I generated by creating a 3D model and rendering it in blender. In order to test the generated data, I've downloaded some images. The simulated data set contains around 5000 high-resolution images and around 1000 images of the actual object.
Now I would like to know the quality of my simulated data. I am new to ML and CNN.
1.Are there any specific models to test this kind of data?
2.Should I train with my simulated data and test with actual data or vice-versa which would give me a better way to find the quality of my data ?
data
New contributor
$endgroup$
I have a huge data set of logistic objects which I generated by creating a 3D model and rendering it in blender. In order to test the generated data, I've downloaded some images. The simulated data set contains around 5000 high-resolution images and around 1000 images of the actual object.
Now I would like to know the quality of my simulated data. I am new to ML and CNN.
1.Are there any specific models to test this kind of data?
2.Should I train with my simulated data and test with actual data or vice-versa which would give me a better way to find the quality of my data ?
data
data
New contributor
New contributor
edited 15 hours ago
Alireza Zolanvari
366117
366117
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asked 18 hours ago
Karri Aravind ReddyKarri Aravind Reddy
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11
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Karri Aravind Reddy is a new contributor. Be nice, and check out our Code of Conduct.
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Karri Aravind Reddy is a new contributor. Be nice, and check out our Code of Conduct.
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