http://imagej.273.s1.nabble.com/Creating-DataSet-after-building-classification-with-Trainable-Weka-Segmentation-tp5009283p5009396.html
> OK, I see what you're trying to do now.
>
> TWS is designed for pixel classification, not image classification. For
> the latest, you will need to create your own plugin and features. The idea
> would be very similar to TWS but you'll need a single final class per image
> and features that are image-based.
>
> You can also use existing software such as PiXiT:
>
http://www.montefiore.ulg.ac.be/~maree/pixit.html>
> Best,
>
> ignacio
>
>
> On Thu, Aug 28, 2014 at 11:34 AM, marcelo_chong <
[hidden email]>
> wrote:
>
>> Hello Ignacio,
>>
>> Thanks for the reply again.
>>
>> I understand now about the instance it create after i load in the 10
>> images.
>>
>> thanks for the explanation.
>>
>> So i would like to ask, hope you won't mind :P
>>
>> If I want to use TWS with Fiji to build a training arff dataset with a set
>> of images
>>
>> so i can build up a classification model in weka
>>
>> Then i want to use it to classify some images, let say Lion and other
>> animals.
>>
>> So am i work on the correct way with TWS now, or i go the wrong direction?
>>
>> coz now even I load in 10 images and create about 3000 instances for test.
>> But I don't know
>>
>> which image is classify as LION or not LION, coz it is in pixel level.
>>
>> Sorry a little bit out of the scope.
>>
>> Thx.
>>
>>
>>
>> --
>> View this message in context:
>>
http://imagej.1557.x6.nabble.com/Creating-DataSet-after-building-classification-with-Trainable-Weka-Segmentation-tp5009283p5009394.html>> Sent from the ImageJ mailing list archive at Nabble.com.
>>
>> --
>> ImageJ mailing list:
http://imagej.nih.gov/ij/list.html>>
>
>
>
> --
> Ignacio Arganda-Carreras, Ph.D.
> Seung's lab, 46-5065
> Department of Brain and Cognitive Sciences
> Massachusetts Institute of Technology
> 43 Vassar St.
> Cambridge, MA 02139
> USA
>
> Phone: (001) 617-324-3747
> Website:
http://bioweb.cnb.csic.es/~iarganda/index_EN.html>
> --
> Ignacio Arganda-Carreras, Ph.D.
> Seung's lab, 46-5065
> Department of Brain and Cognitive Sciences
> Massachusetts Institute of Technology
> 43 Vassar St.
> Cambridge, MA 02139
> USA
>
> Phone: (001) 617-324-3747
> Website: <
http://bioweb.cnb.csic.es/~iarganda/index_EN.html>
>
http://bioweb.cnb.csic.es/~iarganda/index_EN.html>