Timeline for How to handle image classification network where output classes can be subsets of one another?
Current License: CC BY-SA 4.0
13 events
| when toggle format | what | by | license | comment | |
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| Dec 28, 2018 at 9:02 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Nov 27, 2018 at 18:02 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Oct 27, 2018 at 23:00 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Sep 27, 2018 at 22:00 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Aug 28, 2018 at 23:01 | comment | added | John Allard | You're right, I was not very clear and that was not fair of me to change up the question like that with an edit. I have thought through the problem and have made a new question that I hope is more clear. That question is here: datascience.stackexchange.com/questions/37542/… | |
| Aug 28, 2018 at 21:16 | comment | added | D.W. | It seems like your edit totally changed the question, and the new one should be asked separately as its own question. In the future, can you take care to ensure that the question accurately represents what you want answered, so people don't spend time answering something that isn't what you want answered? Thank you! | |
| Aug 28, 2018 at 21:08 | comment | added | Daniel | Also, look at multimodal classification | |
| Aug 28, 2018 at 21:07 | comment | added | Daniel | Just append an 'if' statement in your code. | |
| Aug 28, 2018 at 20:40 | history | edited | John Allard | CC BY-SA 4.0 |
added 477 characters in body
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| Aug 28, 2018 at 20:19 | comment | added | John Allard | But one of the classes is human, which is not a vehicle. It's like this.. if I want my network to recognize many things, including dogs, cats, humans, and mammals, does it make sense to make mammals a derived label from (dog OR cat OR human) or does it make sense to combine all of the mammal training data (all cats, humans, dogs) into a single class, mammal, and feed that into the network in addition to training it on the specific mammal classes? | |
| Aug 28, 2018 at 4:39 | answer | added | D.W. | timeline score: 1 | |
| Aug 28, 2018 at 2:41 | comment | added | Aditya | Obviously they all are vehicles... Can't see the reason of the question? | |
| Aug 28, 2018 at 1:58 | history | asked | John Allard | CC BY-SA 4.0 |