What methods can be used to detect duplicacy in image dataset?
$begingroup$
I want to remove duplicate images from a dataset of 50Million images. What is the best method to detect all the duplicates?
Do you think one shot learning is good for this?
deep-learning predictive-modeling data-cleaning image-classification ensemble-modeling
asked Sep 28 '18 at 19:09
thanatozthanatoz
504317
$endgroup$
add a comment |
$begingroup$
I want to remove duplicate images from a dataset of 50Million images. What is the best method to detect all the duplicates?
Do you think one shot learning is good for this?
deep-learning predictive-modeling data-cleaning image-classification ensemble-modeling
asked Sep 28 '18 at 19:09
thanatozthanatoz
504317
$endgroup$
$begingroup$
Exact duplicates?
$endgroup$
– Michael M
Sep 28 '18 at 19:16
$begingroup$
No, even augmented ones.
$endgroup$
– thanatoz
Sep 28 '18 at 19:17
add a comment |
$begingroup$
I want to remove duplicate images from a dataset of 50Million images. What is the best method to detect all the duplicates?
Do you think one shot learning is good for this?
deep-learning predictive-modeling data-cleaning image-classification ensemble-modeling
asked Sep 28 '18 at 19:09
thanatozthanatoz
504317
$endgroup$
I want to remove duplicate images from a dataset of 50Million images. What is the best method to detect all the duplicates?
Do you think one shot learning is good for this?
deep-learning predictive-modeling data-cleaning image-classification ensemble-modeling
deep-learning predictive-modeling data-cleaning image-classification ensemble-modeling
asked Sep 28 '18 at 19:09
thanatozthanatoz
504317
asked Sep 28 '18 at 19:09
thanatozthanatoz
504317
edited Sep 30 '18 at 14:07
thanatoz
asked Sep 28 '18 at 19:09
thanatozthanatoz
504317
asked Sep 28 '18 at 19:09
thanatozthanatoz
504317
asked Sep 28 '18 at 19:09
thanatozthanatoz
504317
504317
$begingroup$
Exact duplicates?
$endgroup$
– Michael M
Sep 28 '18 at 19:16
$begingroup$
No, even augmented ones.
$endgroup$
– thanatoz
Sep 28 '18 at 19:17
add a comment |
$begingroup$
Exact duplicates?
$endgroup$
– Michael M
Sep 28 '18 at 19:16
$begingroup$
No, even augmented ones.
$endgroup$
– thanatoz
Sep 28 '18 at 19:17
$begingroup$
Exact duplicates?
$endgroup$
– Michael M
Sep 28 '18 at 19:16
$begingroup$
Exact duplicates?
$endgroup$
– Michael M
Sep 28 '18 at 19:16
$begingroup$
No, even augmented ones.
$endgroup$
– thanatoz
Sep 28 '18 at 19:17
$begingroup$
No, even augmented ones.
$endgroup$
– thanatoz
Sep 28 '18 at 19:17
add a comment |
2 Answers
2
active
oldest
votes
$begingroup$
I think the dhash technique might help. It essentially creates a signature for each image, then you could isolate the duplicated images. 50M could take a while, so perhaps you can try that with a smaller subset and see how well it works.
answered Sep 28 '18 at 21:32
The LyristThe Lyrist
419113
$endgroup$
$begingroup$
Is there a descriptive guide to use this apart from the official jetsetter page?
$endgroup$
– thanatoz
Oct 1 '18 at 7:22
$begingroup$
Are you looking for implementation example in a certain language? If you look through the jetsetter article and its references, you can see code sample implementation in C#, PHP, etc. Many people are kind enough to share the code via github as well and hopefully one of them would work for you.
$endgroup$
– The Lyrist
Oct 1 '18 at 18:29
add a comment |
$begingroup$
So, this is a simple problem that could be solved using one-shot learning technique. To achieve this, we must build a model that understands our data and is capable of finding similarity or dissimilarity in your data.
For this, we must carry out the following steps:
- Train (or finetune) the network on dataset of related images.
- After training the model, clip the last predicting layers to create embedding.
- Pass your testing data through the network and store individual embedding.
- Find the difference between the embedding and find the differences crossing a certain threshold.
- These images are potentially images having similar data and this could be easily used to find duplicacy in the dataset.
I referred this paper on oneshot learning and later found this blog to be a little helpful.
answered 27 mins ago
thanatozthanatoz
504317
$endgroup$
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
I think the dhash technique might help. It essentially creates a signature for each image, then you could isolate the duplicated images. 50M could take a while, so perhaps you can try that with a smaller subset and see how well it works.
answered Sep 28 '18 at 21:32
The LyristThe Lyrist
419113
$endgroup$
$begingroup$
Is there a descriptive guide to use this apart from the official jetsetter page?
$endgroup$
– thanatoz
Oct 1 '18 at 7:22
$begingroup$
Are you looking for implementation example in a certain language? If you look through the jetsetter article and its references, you can see code sample implementation in C#, PHP, etc. Many people are kind enough to share the code via github as well and hopefully one of them would work for you.
$endgroup$
– The Lyrist
Oct 1 '18 at 18:29
add a comment |
$begingroup$
I think the dhash technique might help. It essentially creates a signature for each image, then you could isolate the duplicated images. 50M could take a while, so perhaps you can try that with a smaller subset and see how well it works.
answered Sep 28 '18 at 21:32
The LyristThe Lyrist
419113
$endgroup$
$begingroup$
Is there a descriptive guide to use this apart from the official jetsetter page?
$endgroup$
– thanatoz
Oct 1 '18 at 7:22
$begingroup$
Are you looking for implementation example in a certain language? If you look through the jetsetter article and its references, you can see code sample implementation in C#, PHP, etc. Many people are kind enough to share the code via github as well and hopefully one of them would work for you.
$endgroup$
– The Lyrist
Oct 1 '18 at 18:29
add a comment |
$begingroup$
I think the dhash technique might help. It essentially creates a signature for each image, then you could isolate the duplicated images. 50M could take a while, so perhaps you can try that with a smaller subset and see how well it works.
answered Sep 28 '18 at 21:32
The LyristThe Lyrist
419113
$endgroup$
I think the dhash technique might help. It essentially creates a signature for each image, then you could isolate the duplicated images. 50M could take a while, so perhaps you can try that with a smaller subset and see how well it works.
answered Sep 28 '18 at 21:32
The LyristThe Lyrist
419113
answered Sep 28 '18 at 21:32
The LyristThe Lyrist
419113
answered Sep 28 '18 at 21:32
The LyristThe Lyrist
419113
answered Sep 28 '18 at 21:32
The LyristThe Lyrist
419113
419113
$begingroup$
Is there a descriptive guide to use this apart from the official jetsetter page?
$endgroup$
– thanatoz
Oct 1 '18 at 7:22
$begingroup$
Are you looking for implementation example in a certain language? If you look through the jetsetter article and its references, you can see code sample implementation in C#, PHP, etc. Many people are kind enough to share the code via github as well and hopefully one of them would work for you.
$endgroup$
– The Lyrist
Oct 1 '18 at 18:29
add a comment |
$begingroup$
Is there a descriptive guide to use this apart from the official jetsetter page?
$endgroup$
– thanatoz
Oct 1 '18 at 7:22
$begingroup$
Are you looking for implementation example in a certain language? If you look through the jetsetter article and its references, you can see code sample implementation in C#, PHP, etc. Many people are kind enough to share the code via github as well and hopefully one of them would work for you.
$endgroup$
– The Lyrist
Oct 1 '18 at 18:29
$begingroup$
Is there a descriptive guide to use this apart from the official jetsetter page?
$endgroup$
– thanatoz
Oct 1 '18 at 7:22
$begingroup$
Is there a descriptive guide to use this apart from the official jetsetter page?
$endgroup$
– thanatoz
Oct 1 '18 at 7:22
$begingroup$
Are you looking for implementation example in a certain language? If you look through the jetsetter article and its references, you can see code sample implementation in C#, PHP, etc. Many people are kind enough to share the code via github as well and hopefully one of them would work for you.
$endgroup$
– The Lyrist
Oct 1 '18 at 18:29
$begingroup$
Are you looking for implementation example in a certain language? If you look through the jetsetter article and its references, you can see code sample implementation in C#, PHP, etc. Many people are kind enough to share the code via github as well and hopefully one of them would work for you.
$endgroup$
– The Lyrist
Oct 1 '18 at 18:29
add a comment |
$begingroup$
So, this is a simple problem that could be solved using one-shot learning technique. To achieve this, we must build a model that understands our data and is capable of finding similarity or dissimilarity in your data.
For this, we must carry out the following steps:
- Train (or finetune) the network on dataset of related images.
- After training the model, clip the last predicting layers to create embedding.
- Pass your testing data through the network and store individual embedding.
- Find the difference between the embedding and find the differences crossing a certain threshold.
- These images are potentially images having similar data and this could be easily used to find duplicacy in the dataset.
I referred this paper on oneshot learning and later found this blog to be a little helpful.
answered 27 mins ago
thanatozthanatoz
504317
$endgroup$
add a comment |
$begingroup$
So, this is a simple problem that could be solved using one-shot learning technique. To achieve this, we must build a model that understands our data and is capable of finding similarity or dissimilarity in your data.
For this, we must carry out the following steps:
- Train (or finetune) the network on dataset of related images.
- After training the model, clip the last predicting layers to create embedding.
- Pass your testing data through the network and store individual embedding.
- Find the difference between the embedding and find the differences crossing a certain threshold.
- These images are potentially images having similar data and this could be easily used to find duplicacy in the dataset.
I referred this paper on oneshot learning and later found this blog to be a little helpful.
answered 27 mins ago
thanatozthanatoz
504317
$endgroup$
add a comment |
$begingroup$
So, this is a simple problem that could be solved using one-shot learning technique. To achieve this, we must build a model that understands our data and is capable of finding similarity or dissimilarity in your data.
For this, we must carry out the following steps:
- Train (or finetune) the network on dataset of related images.
- After training the model, clip the last predicting layers to create embedding.
- Pass your testing data through the network and store individual embedding.
- Find the difference between the embedding and find the differences crossing a certain threshold.
- These images are potentially images having similar data and this could be easily used to find duplicacy in the dataset.
I referred this paper on oneshot learning and later found this blog to be a little helpful.
answered 27 mins ago
thanatozthanatoz
504317
$endgroup$
So, this is a simple problem that could be solved using one-shot learning technique. To achieve this, we must build a model that understands our data and is capable of finding similarity or dissimilarity in your data.
For this, we must carry out the following steps:
- Train (or finetune) the network on dataset of related images.
- After training the model, clip the last predicting layers to create embedding.
- Pass your testing data through the network and store individual embedding.
- Find the difference between the embedding and find the differences crossing a certain threshold.
- These images are potentially images having similar data and this could be easily used to find duplicacy in the dataset.
I referred this paper on oneshot learning and later found this blog to be a little helpful.
answered 27 mins ago
thanatozthanatoz
504317
answered 27 mins ago
thanatozthanatoz
504317
answered 27 mins ago
thanatozthanatoz
504317
answered 27 mins ago
thanatozthanatoz
504317
504317
add a comment |
add a comment |
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$begingroup$
Exact duplicates?
$endgroup$
– Michael M
Sep 28 '18 at 19:16
$begingroup$
No, even augmented ones.
$endgroup$
– thanatoz
Sep 28 '18 at 19:17