tool to label images for classification
$begingroup$
Can anyone recommend a tool to quickly label several hundred images as an input for classification?
I have ~500 microscopy images of cells. I want to assign categories such as 'healthy', 'dead', 'sick' manually for a training set and save those to a csv file.
basically the same as described in this question, except I don't have proprietary images, so maybe that opens up additional possibilities?
machine-learning image-classification training
edited Apr 13 '17 at 12:50
Community♦
1
asked Sep 16 '16 at 14:01
jlarschjlarsch
15116
$endgroup$
|
show 2 more comments
$begingroup$
Can anyone recommend a tool to quickly label several hundred images as an input for classification?
I have ~500 microscopy images of cells. I want to assign categories such as 'healthy', 'dead', 'sick' manually for a training set and save those to a csv file.
basically the same as described in this question, except I don't have proprietary images, so maybe that opens up additional possibilities?
machine-learning image-classification training
edited Apr 13 '17 at 12:50
Community♦
1
asked Sep 16 '16 at 14:01
jlarschjlarsch
15116
$endgroup$
$begingroup$
Is this something that you will have to do several times? If so, it might be worth building a tool. See this: datascience.stackexchange.com/questions/13335/…
$endgroup$
– Hobbes
Sep 16 '16 at 14:10
$begingroup$
Might go that route if necessary but it seemed like something many people might use and for which a solution already exists?
$endgroup$
– jlarsch
Sep 16 '16 at 14:13
$begingroup$
It sounds like pilab-annotator or pylabelme are usefull, they might be overkill though. stackoverflow.com/questions/10609455/…
$endgroup$
– Hobbes
Sep 16 '16 at 14:18
$begingroup$
those seem geared towards annotating features within images. Maybe I could use them in the most basic way to just assign one label to the entire image
$endgroup$
– jlarsch
Sep 16 '16 at 14:24
1
$begingroup$
There a few tools out there for image annotation, the most popular and easy to use one is: github.com/tzutalin/labelImg
$endgroup$
– olive_tree
Aug 4 '17 at 17:31
|
show 2 more comments
$begingroup$
Can anyone recommend a tool to quickly label several hundred images as an input for classification?
I have ~500 microscopy images of cells. I want to assign categories such as 'healthy', 'dead', 'sick' manually for a training set and save those to a csv file.
basically the same as described in this question, except I don't have proprietary images, so maybe that opens up additional possibilities?
machine-learning image-classification training
edited Apr 13 '17 at 12:50
Community♦
1
asked Sep 16 '16 at 14:01
jlarschjlarsch
15116
$endgroup$
Can anyone recommend a tool to quickly label several hundred images as an input for classification?
I have ~500 microscopy images of cells. I want to assign categories such as 'healthy', 'dead', 'sick' manually for a training set and save those to a csv file.
basically the same as described in this question, except I don't have proprietary images, so maybe that opens up additional possibilities?
machine-learning image-classification training
machine-learning image-classification training
edited Apr 13 '17 at 12:50
Community♦
1
asked Sep 16 '16 at 14:01
jlarschjlarsch
15116
edited Apr 13 '17 at 12:50
Community♦
1
asked Sep 16 '16 at 14:01
jlarschjlarsch
15116
edited Apr 13 '17 at 12:50
Community♦
1
edited Apr 13 '17 at 12:50
Community♦
1
edited Apr 13 '17 at 12:50
Community♦
1
1
asked Sep 16 '16 at 14:01
jlarschjlarsch
15116
asked Sep 16 '16 at 14:01
jlarschjlarsch
15116
asked Sep 16 '16 at 14:01
jlarschjlarsch
15116
15116
$begingroup$
Is this something that you will have to do several times? If so, it might be worth building a tool. See this: datascience.stackexchange.com/questions/13335/…
$endgroup$
– Hobbes
Sep 16 '16 at 14:10
$begingroup$
Might go that route if necessary but it seemed like something many people might use and for which a solution already exists?
$endgroup$
– jlarsch
Sep 16 '16 at 14:13
$begingroup$
It sounds like pilab-annotator or pylabelme are usefull, they might be overkill though. stackoverflow.com/questions/10609455/…
$endgroup$
– Hobbes
Sep 16 '16 at 14:18
$begingroup$
those seem geared towards annotating features within images. Maybe I could use them in the most basic way to just assign one label to the entire image
$endgroup$
– jlarsch
Sep 16 '16 at 14:24
1
$begingroup$
There a few tools out there for image annotation, the most popular and easy to use one is: github.com/tzutalin/labelImg
$endgroup$
– olive_tree
Aug 4 '17 at 17:31
|
show 2 more comments
$begingroup$
Is this something that you will have to do several times? If so, it might be worth building a tool. See this: datascience.stackexchange.com/questions/13335/…
$endgroup$
– Hobbes
Sep 16 '16 at 14:10
$begingroup$
Might go that route if necessary but it seemed like something many people might use and for which a solution already exists?
$endgroup$
– jlarsch
Sep 16 '16 at 14:13
$begingroup$
It sounds like pilab-annotator or pylabelme are usefull, they might be overkill though. stackoverflow.com/questions/10609455/…
$endgroup$
– Hobbes
Sep 16 '16 at 14:18
$begingroup$
those seem geared towards annotating features within images. Maybe I could use them in the most basic way to just assign one label to the entire image
$endgroup$
– jlarsch
Sep 16 '16 at 14:24
1
$begingroup$
There a few tools out there for image annotation, the most popular and easy to use one is: github.com/tzutalin/labelImg
$endgroup$
– olive_tree
Aug 4 '17 at 17:31
$begingroup$
Is this something that you will have to do several times? If so, it might be worth building a tool. See this: datascience.stackexchange.com/questions/13335/…
$endgroup$
– Hobbes
Sep 16 '16 at 14:10
$begingroup$
Is this something that you will have to do several times? If so, it might be worth building a tool. See this: datascience.stackexchange.com/questions/13335/…
$endgroup$
– Hobbes
Sep 16 '16 at 14:10
$begingroup$
Might go that route if necessary but it seemed like something many people might use and for which a solution already exists?
$endgroup$
– jlarsch
Sep 16 '16 at 14:13
$begingroup$
Might go that route if necessary but it seemed like something many people might use and for which a solution already exists?
$endgroup$
– jlarsch
Sep 16 '16 at 14:13
$begingroup$
It sounds like pilab-annotator or pylabelme are usefull, they might be overkill though. stackoverflow.com/questions/10609455/…
$endgroup$
– Hobbes
Sep 16 '16 at 14:18
$begingroup$
It sounds like pilab-annotator or pylabelme are usefull, they might be overkill though. stackoverflow.com/questions/10609455/…
$endgroup$
– Hobbes
Sep 16 '16 at 14:18
$begingroup$
those seem geared towards annotating features within images. Maybe I could use them in the most basic way to just assign one label to the entire image
$endgroup$
– jlarsch
Sep 16 '16 at 14:24
$begingroup$
those seem geared towards annotating features within images. Maybe I could use them in the most basic way to just assign one label to the entire image
$endgroup$
– jlarsch
Sep 16 '16 at 14:24
1
1
$begingroup$
There a few tools out there for image annotation, the most popular and easy to use one is: github.com/tzutalin/labelImg
$endgroup$
– olive_tree
Aug 4 '17 at 17:31
$begingroup$
There a few tools out there for image annotation, the most popular and easy to use one is: github.com/tzutalin/labelImg
$endgroup$
– olive_tree
Aug 4 '17 at 17:31
|
show 2 more comments
4 Answers
4
active
oldest
votes
$begingroup$
I just hacked together a very basic helper in python
it requires that all images are stored in a pyton list allImages.
import matplotlib.pyplot as plt
category=
plt.ion()
for i,image in enumerate(allImages):
plt.imshow(image)
plt.pause(0.05)
category.append(raw_input('category: '))
answered Sep 16 '16 at 14:50
jlarschjlarsch
15116
$endgroup$
$begingroup$
If this solved your issue, you should accept your own answer so it doesn't appear as an "unanswered question" on this website :)
$endgroup$
– Eskapp
Dec 15 '16 at 20:37
add a comment |
$begingroup$
Checkout Labelbox (https://www.labelbox.io/)
Labelbox is a tool to label any kind of data, you can simply upload data in a csv file for very basic image classification or segmentation, and can start to label data with a team. It is probably the fastest tool to get you started with data labeling.
Labelbox supports basically any data as long as it can be loaded into a browser. They have open source labeling frontend, i.e., you could create your own frontend with basic HTML and javascript that suits your data labeling needs. See their github repo to learn more: https://github.com/Labelbox/Labelbox
This is how easy it is to setup a project and getting started with labeling:
answered Mar 7 '18 at 2:32
Daniel RasmusonDaniel Rasmuson
1311
$endgroup$
add a comment |
$begingroup$
Try Supervisely.
For your task you could create classes: 'healthy', 'dead', 'sick' and associate them with Rectangle tool. Then you just put a box around each cell with corresponding class.
Below is an example:
- Definitions of classes
- Labeling
If your categories are not mutually exclusive, you may create “cell” class (and associate it with rectangle) and then create several tags - one for each of your categories.
Below is an example:
- Definitions of classes and tags
- Labeling
answered Jan 10 at 13:36
YuriYuri
111
$endgroup$
add a comment |
$begingroup$
I have created a code doing what you need, it is available on GitHub as image-sorter2. Instead of "labelling" images it puts the images into a new folder, put creating the csv you are talking about is a straight forward extension. Compared to the other suggested scripts here image-sorter2 is 100% free of charges and you don't need to spend time on drawing bounding boxes - the script simply opens a GUI for you, you click on one of multiple buttons and correspondingly each image is sorted into the desired class-folder, e.g. "cats", "dogs", "trucks" a.s.o.
answered yesterday
NeStackNeStack
1
$endgroup$
add a comment |
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4 Answers
4
active
oldest
votes
4 Answers
4
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
I just hacked together a very basic helper in python
it requires that all images are stored in a pyton list allImages.
import matplotlib.pyplot as plt
category=
plt.ion()
for i,image in enumerate(allImages):
plt.imshow(image)
plt.pause(0.05)
category.append(raw_input('category: '))
answered Sep 16 '16 at 14:50
jlarschjlarsch
15116
$endgroup$
$begingroup$
If this solved your issue, you should accept your own answer so it doesn't appear as an "unanswered question" on this website :)
$endgroup$
– Eskapp
Dec 15 '16 at 20:37
add a comment |
$begingroup$
I just hacked together a very basic helper in python
it requires that all images are stored in a pyton list allImages.
import matplotlib.pyplot as plt
category=
plt.ion()
for i,image in enumerate(allImages):
plt.imshow(image)
plt.pause(0.05)
category.append(raw_input('category: '))
answered Sep 16 '16 at 14:50
jlarschjlarsch
15116
$endgroup$
$begingroup$
If this solved your issue, you should accept your own answer so it doesn't appear as an "unanswered question" on this website :)
$endgroup$
– Eskapp
Dec 15 '16 at 20:37
add a comment |
$begingroup$
I just hacked together a very basic helper in python
it requires that all images are stored in a pyton list allImages.
import matplotlib.pyplot as plt
category=
plt.ion()
for i,image in enumerate(allImages):
plt.imshow(image)
plt.pause(0.05)
category.append(raw_input('category: '))
answered Sep 16 '16 at 14:50
jlarschjlarsch
15116
$endgroup$
I just hacked together a very basic helper in python
it requires that all images are stored in a pyton list allImages.
import matplotlib.pyplot as plt
category=
plt.ion()
for i,image in enumerate(allImages):
plt.imshow(image)
plt.pause(0.05)
category.append(raw_input('category: '))
answered Sep 16 '16 at 14:50
jlarschjlarsch
15116
answered Sep 16 '16 at 14:50
jlarschjlarsch
15116
answered Sep 16 '16 at 14:50
jlarschjlarsch
15116
answered Sep 16 '16 at 14:50
jlarschjlarsch
15116
15116
$begingroup$
If this solved your issue, you should accept your own answer so it doesn't appear as an "unanswered question" on this website :)
$endgroup$
– Eskapp
Dec 15 '16 at 20:37
add a comment |
$begingroup$
If this solved your issue, you should accept your own answer so it doesn't appear as an "unanswered question" on this website :)
$endgroup$
– Eskapp
Dec 15 '16 at 20:37
$begingroup$
If this solved your issue, you should accept your own answer so it doesn't appear as an "unanswered question" on this website :)
$endgroup$
– Eskapp
Dec 15 '16 at 20:37
$begingroup$
If this solved your issue, you should accept your own answer so it doesn't appear as an "unanswered question" on this website :)
$endgroup$
– Eskapp
Dec 15 '16 at 20:37
add a comment |
$begingroup$
Checkout Labelbox (https://www.labelbox.io/)
Labelbox is a tool to label any kind of data, you can simply upload data in a csv file for very basic image classification or segmentation, and can start to label data with a team. It is probably the fastest tool to get you started with data labeling.
Labelbox supports basically any data as long as it can be loaded into a browser. They have open source labeling frontend, i.e., you could create your own frontend with basic HTML and javascript that suits your data labeling needs. See their github repo to learn more: https://github.com/Labelbox/Labelbox
This is how easy it is to setup a project and getting started with labeling:
answered Mar 7 '18 at 2:32
Daniel RasmusonDaniel Rasmuson
1311
$endgroup$
add a comment |
$begingroup$
Checkout Labelbox (https://www.labelbox.io/)
Labelbox is a tool to label any kind of data, you can simply upload data in a csv file for very basic image classification or segmentation, and can start to label data with a team. It is probably the fastest tool to get you started with data labeling.
Labelbox supports basically any data as long as it can be loaded into a browser. They have open source labeling frontend, i.e., you could create your own frontend with basic HTML and javascript that suits your data labeling needs. See their github repo to learn more: https://github.com/Labelbox/Labelbox
This is how easy it is to setup a project and getting started with labeling:
answered Mar 7 '18 at 2:32
Daniel RasmusonDaniel Rasmuson
1311
$endgroup$
add a comment |
$begingroup$
Checkout Labelbox (https://www.labelbox.io/)
Labelbox is a tool to label any kind of data, you can simply upload data in a csv file for very basic image classification or segmentation, and can start to label data with a team. It is probably the fastest tool to get you started with data labeling.
Labelbox supports basically any data as long as it can be loaded into a browser. They have open source labeling frontend, i.e., you could create your own frontend with basic HTML and javascript that suits your data labeling needs. See their github repo to learn more: https://github.com/Labelbox/Labelbox
This is how easy it is to setup a project and getting started with labeling:
answered Mar 7 '18 at 2:32
Daniel RasmusonDaniel Rasmuson
1311
$endgroup$
Checkout Labelbox (https://www.labelbox.io/)
Labelbox is a tool to label any kind of data, you can simply upload data in a csv file for very basic image classification or segmentation, and can start to label data with a team. It is probably the fastest tool to get you started with data labeling.
Labelbox supports basically any data as long as it can be loaded into a browser. They have open source labeling frontend, i.e., you could create your own frontend with basic HTML and javascript that suits your data labeling needs. See their github repo to learn more: https://github.com/Labelbox/Labelbox
This is how easy it is to setup a project and getting started with labeling:
answered Mar 7 '18 at 2:32
Daniel RasmusonDaniel Rasmuson
1311
answered Mar 7 '18 at 2:32
Daniel RasmusonDaniel Rasmuson
1311
answered Mar 7 '18 at 2:32
Daniel RasmusonDaniel Rasmuson
1311
answered Mar 7 '18 at 2:32
Daniel RasmusonDaniel Rasmuson
1311
1311
add a comment |
add a comment |
$begingroup$
Try Supervisely.
For your task you could create classes: 'healthy', 'dead', 'sick' and associate them with Rectangle tool. Then you just put a box around each cell with corresponding class.
Below is an example:
- Definitions of classes
- Labeling
If your categories are not mutually exclusive, you may create “cell” class (and associate it with rectangle) and then create several tags - one for each of your categories.
Below is an example:
- Definitions of classes and tags
- Labeling
answered Jan 10 at 13:36
YuriYuri
111
$endgroup$
add a comment |
$begingroup$
Try Supervisely.
For your task you could create classes: 'healthy', 'dead', 'sick' and associate them with Rectangle tool. Then you just put a box around each cell with corresponding class.
Below is an example:
- Definitions of classes
- Labeling
If your categories are not mutually exclusive, you may create “cell” class (and associate it with rectangle) and then create several tags - one for each of your categories.
Below is an example:
- Definitions of classes and tags
- Labeling
answered Jan 10 at 13:36
YuriYuri
111
$endgroup$
add a comment |
$begingroup$
Try Supervisely.
For your task you could create classes: 'healthy', 'dead', 'sick' and associate them with Rectangle tool. Then you just put a box around each cell with corresponding class.
Below is an example:
- Definitions of classes
- Labeling
If your categories are not mutually exclusive, you may create “cell” class (and associate it with rectangle) and then create several tags - one for each of your categories.
Below is an example:
- Definitions of classes and tags
- Labeling
answered Jan 10 at 13:36
YuriYuri
111
$endgroup$
Try Supervisely.
For your task you could create classes: 'healthy', 'dead', 'sick' and associate them with Rectangle tool. Then you just put a box around each cell with corresponding class.
Below is an example:
- Definitions of classes
- Labeling
If your categories are not mutually exclusive, you may create “cell” class (and associate it with rectangle) and then create several tags - one for each of your categories.
Below is an example:
- Definitions of classes and tags
- Labeling
answered Jan 10 at 13:36
YuriYuri
111
answered Jan 10 at 13:36
YuriYuri
111
answered Jan 10 at 13:36
YuriYuri
111
answered Jan 10 at 13:36
YuriYuri
111
111
add a comment |
add a comment |
$begingroup$
I have created a code doing what you need, it is available on GitHub as image-sorter2. Instead of "labelling" images it puts the images into a new folder, put creating the csv you are talking about is a straight forward extension. Compared to the other suggested scripts here image-sorter2 is 100% free of charges and you don't need to spend time on drawing bounding boxes - the script simply opens a GUI for you, you click on one of multiple buttons and correspondingly each image is sorted into the desired class-folder, e.g. "cats", "dogs", "trucks" a.s.o.
answered yesterday
NeStackNeStack
1
$endgroup$
add a comment |
$begingroup$
I have created a code doing what you need, it is available on GitHub as image-sorter2. Instead of "labelling" images it puts the images into a new folder, put creating the csv you are talking about is a straight forward extension. Compared to the other suggested scripts here image-sorter2 is 100% free of charges and you don't need to spend time on drawing bounding boxes - the script simply opens a GUI for you, you click on one of multiple buttons and correspondingly each image is sorted into the desired class-folder, e.g. "cats", "dogs", "trucks" a.s.o.
answered yesterday
NeStackNeStack
1
$endgroup$
add a comment |
$begingroup$
I have created a code doing what you need, it is available on GitHub as image-sorter2. Instead of "labelling" images it puts the images into a new folder, put creating the csv you are talking about is a straight forward extension. Compared to the other suggested scripts here image-sorter2 is 100% free of charges and you don't need to spend time on drawing bounding boxes - the script simply opens a GUI for you, you click on one of multiple buttons and correspondingly each image is sorted into the desired class-folder, e.g. "cats", "dogs", "trucks" a.s.o.
answered yesterday
NeStackNeStack
1
$endgroup$
I have created a code doing what you need, it is available on GitHub as image-sorter2. Instead of "labelling" images it puts the images into a new folder, put creating the csv you are talking about is a straight forward extension. Compared to the other suggested scripts here image-sorter2 is 100% free of charges and you don't need to spend time on drawing bounding boxes - the script simply opens a GUI for you, you click on one of multiple buttons and correspondingly each image is sorted into the desired class-folder, e.g. "cats", "dogs", "trucks" a.s.o.
answered yesterday
NeStackNeStack
1
answered yesterday
NeStackNeStack
1
answered yesterday
NeStackNeStack
1
answered yesterday
NeStackNeStack
1
1
add a comment |
add a comment |
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$begingroup$
Is this something that you will have to do several times? If so, it might be worth building a tool. See this: datascience.stackexchange.com/questions/13335/…
$endgroup$
– Hobbes
Sep 16 '16 at 14:10
$begingroup$
Might go that route if necessary but it seemed like something many people might use and for which a solution already exists?
$endgroup$
– jlarsch
Sep 16 '16 at 14:13
$begingroup$
It sounds like pilab-annotator or pylabelme are usefull, they might be overkill though. stackoverflow.com/questions/10609455/…
$endgroup$
– Hobbes
Sep 16 '16 at 14:18
$begingroup$
those seem geared towards annotating features within images. Maybe I could use them in the most basic way to just assign one label to the entire image
$endgroup$
– jlarsch
Sep 16 '16 at 14:24
1
$begingroup$
There a few tools out there for image annotation, the most popular and easy to use one is: github.com/tzutalin/labelImg
$endgroup$
– olive_tree
Aug 4 '17 at 17:31