Articles related to "painting"

The Non-Treachery of Dataset

Discovered on 28 January 05:00 PM EST.

There were various efforts for letting AI create art (e.g., a Model, trained on 24k Painting Dataset from Kaggle).
On one hand, we would like to train an end-to-end deep convolution model to investigate the capability of the deep model in fine-art painting classification problem.
On the other hand, we argue that classification of fine-art collections is a more challenging problem in comparison to objects or face recognition.
So does AI has the imagination to recognize art, a non-representational production of the human brain, heart, and hand?
AI is perplexed as well — the most it can do, is distinguishing between artist styles, depicted objects, and art movement features.
Exactly: ArtGAN cannot reconstruct famous paintings (in this case because it’s trained on the huge dataset from various art epochs).
It’s a disruptive force which lets us re-consider the human factor in the concept of art.

Discovered on 28 January 12:00 PM EST.

There were various efforts for letting AI create art (e.g., a Model, trained on 24k Painting Dataset from Kaggle).
On one hand, we would like to train an end-to-end deep convolution model to investigate the capability of the deep model in fine-art painting classification problem.
On the other hand, we argue that classification of fine-art collections is a more challenging problem in comparison to objects or face recognition.
So does AI has the imagination to recognize art, a non-representational production of the human brain, heart, and hand?
AI is perplexed as well — the most it can do, is distinguishing between artist styles, depicted objects, and art movement features.
Exactly: ArtGAN cannot reconstruct famous paintings (in this case because it’s trained on the huge dataset from various art epochs).
It’s a disruptive force which lets us re-consider the human factor in the concept of art.

Discovered on 28 January 11:00 AM EST.

There were various efforts for letting AI create art (e.g., a Model, trained on 24k Painting Dataset from Kaggle).
On one hand, we would like to train an end-to-end deep convolution model to investigate the capability of the deep model in fine-art painting classification problem.
On the other hand, we argue that classification of fine-art collections is a more challenging problem in comparison to objects or face recognition.
So does AI has the imagination to recognize art, a non-representational production of the human brain, heart, and hand?
AI is perplexed as well — the most it can do, is distinguishing between artist styles, depicted objects, and art movement features.
Exactly: ArtGAN cannot reconstruct famous paintings (in this case because it’s trained on the huge dataset from various art epochs).
It’s a disruptive force which lets us re-consider the human factor in the concept of art.

Discovered on 28 January 10:00 AM EST.

There were various efforts for letting AI create art (e.g., a Model, trained on 24k Painting Dataset from Kaggle).
On one hand, we would like to train an end-to-end deep convolution model to investigate the capability of the deep model in fine-art painting classification problem.
On the other hand, we argue that classification of fine-art collections is a more challenging problem in comparison to objects or face recognition.
So does AI has the imagination to recognize art, a non-representational production of the human brain, heart, and hand?
AI is perplexed as well — the most it can do, is distinguishing between artist styles, depicted objects, and art movement features.
Exactly: ArtGAN cannot reconstruct famous paintings (in this case because it’s trained on the huge dataset from various art epochs).
It’s a disruptive force which lets us re-consider the human factor in the concept of art.

Discovered on 28 January 09:00 AM EST.

There were various efforts for letting AI create art (e.g., a Model, trained on 24k Painting Dataset from Kaggle).
On one hand, we would like to train an end-to-end deep convolution model to investigate the capability of the deep model in fine-art painting classification problem.
On the other hand, we argue that classification of fine-art collections is a more challenging problem in comparison to objects or face recognition.
So does AI has the imagination to recognize art, a non-representational production of the human brain, heart, and hand?
AI is perplexed as well — the most it can do, is distinguishing between artist styles, depicted objects, and art movement features.
Exactly: ArtGAN cannot reconstruct famous paintings (in this case because it’s trained on the huge dataset from various art epochs).
It’s a disruptive force which lets us re-consider the human factor in the concept of art.