Image Classification on non real images
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I was wondering how image classifier networks perform on images that are not photographs. For example if you were to feed a drawing of a car or a face to an image classifier that was only trained on photos would the network still be able to classify the image correctly?
Furthermore what if you were to feed more and more abstract drawings into the network. As humans we are able to recognize objects even in abstract forms (i.e. modern art) but do current image classifiers generalize well enough in order to do this?
Are there any networks that are also trained on artist renditions of objects and not just photographs?
image-classification image-recognition image
asked 4 mins ago
dadrakedadrake
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I was wondering how image classifier networks perform on images that are not photographs. For example if you were to feed a drawing of a car or a face to an image classifier that was only trained on photos would the network still be able to classify the image correctly?
Furthermore what if you were to feed more and more abstract drawings into the network. As humans we are able to recognize objects even in abstract forms (i.e. modern art) but do current image classifiers generalize well enough in order to do this?
Are there any networks that are also trained on artist renditions of objects and not just photographs?
image-classification image-recognition image
asked 4 mins ago
dadrakedadrake
61
New contributor
dadrake is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I was wondering how image classifier networks perform on images that are not photographs. For example if you were to feed a drawing of a car or a face to an image classifier that was only trained on photos would the network still be able to classify the image correctly?
Furthermore what if you were to feed more and more abstract drawings into the network. As humans we are able to recognize objects even in abstract forms (i.e. modern art) but do current image classifiers generalize well enough in order to do this?
Are there any networks that are also trained on artist renditions of objects and not just photographs?
image-classification image-recognition image
asked 4 mins ago
dadrakedadrake
61
New contributor
dadrake is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I was wondering how image classifier networks perform on images that are not photographs. For example if you were to feed a drawing of a car or a face to an image classifier that was only trained on photos would the network still be able to classify the image correctly?
Furthermore what if you were to feed more and more abstract drawings into the network. As humans we are able to recognize objects even in abstract forms (i.e. modern art) but do current image classifiers generalize well enough in order to do this?
Are there any networks that are also trained on artist renditions of objects and not just photographs?
image-classification image-recognition image
image-classification image-recognition image
asked 4 mins ago
dadrakedadrake
61
New contributor
dadrake is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 4 mins ago
dadrakedadrake
61
New contributor
dadrake is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 4 mins ago
dadrakedadrake
61
New contributor
dadrake is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 4 mins ago
dadrakedadrake
61
asked 4 mins ago
dadrakedadrake
61
61
New contributor
dadrake is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
dadrake is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
dadrake is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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