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We are missing a few datasets for Text Classification which is an important field.
Namely, it would be really nice to add:
- [x] TREC-6 dataset (see here for instance: https://pytorchnlp.readthedo…
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# Face recognition
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# Face verification vs. face recognition
## Verification (Binary Classification)
- Input image, name/ID
- Output whether the input image is that of the claimed person
## R…
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Hi @AlexeyAB & Team ,
I am planning to solve a multi-label problem using YOLOv4.
The problem is to detect the presence and position of catheters and lines on chest x-rays-
[https://www.kaggle.com…
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There has been some community appetite for classification tasks #1249 #1124. Incidentally, due to the use of classification models for RLHF, we already have some of the necessary components to support…
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I am doing multi-label classification. Getting this error !
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**Is your feature request related to a problem? Please describe.**
Extreme multi-label classification tasks require annotators to choose from a large set of possible labels. This set of labels may va…
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I try to do feature matching on html-document-nodes, and use features of these document nodes (tagname, text, class, length,..) as placeholder (struct). Currently, the network consists of some fasttex…
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I find the gt_mband datasets only have one label, Why is it possible to do multiple classifications?
in addition, How do you do multiple classification using the binary crossentropy loss function
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We have been using EfficientNet 0.6.3 to train models for multi-label classification. When upgrading to 0.7.0 and loading the previously trained weights, the model output is incorrect (basically predi…
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Hello,
Thank you for the great work. I am trying to train a net for multi label image classification, however when I use caffee to do so, I run into an error which seems to be linked to the label L…
vbvxx updated
6 years ago