Comments (5)
Thanks for your asking. 1) Do you mean that some "painting" is classified as "photo" in the Artist&Danbooru folders? 2) Since the Openset test is just for testing (e.g., a binary classification/identification problem), the annotation is only one of "real" and "fake" as the file name related.
from lasted.
- While reading the paper I understood that Artist&Danbooru is a set of paintings, but some of the synthetic images in Artist&Danbooru folders in Openset are synthetic photos, but not synthetic paintings as mentioned.
- I'm trying to use it for multiclass classification - real photo, real painting, synthetic photo, synthetic painting.
from lasted.
- Yes. The images in Artist&Danbooru should be all paintings. Please specific the name of the wrong image, and I'll double check.
- Sorry that the Openset is only for binary classification. Later the training dataset will be released, where multi-class evaluation could be conducted.
from lasted.
There are a lot of images, for instance: Openset_Testset/Artist_Danbooru_StyleGAN/synthetic_1064_StyleGAN.png
from lasted.
Sorry for any confusion. In fact, the "Artist_Danbooru_StyleGAN/synthetic_1064_StyleGAN.png" means this is a synthetic image generated by StyleGAN, rather than a real image (photo/painting) from "Artist_Danbooru". Only the images with "real_" prefix are from "Artist_Danbooru" (paintings) or "ImageNet_VISION" (photos).
from lasted.
Related Issues (15)
- Training Data Issue HOT 4
- Questions HOT 1
- I try to train the model using code and the code has some errors HOT 1
- Some question for rerun the code HOT 8
- Some questions about the trainning HOT 2
- Do you have a paper/technical report to refer to more implementation details? HOT 1
- Model just predicts most images as real (painting or photo)
- Train data and Openset issues HOT 3
- Request for an Alternative Download Method for the Training Dataset HOT 6
- Question about dataset used in the paper HOT 2
- Question about training time HOT 2
- Is there anyway to download the pretrained weights? HOT 1
- Training problem HOT 2
- Please provide unzip code HOT 4
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from lasted.