-
Hello,
(Cross posting this between [SetFit](https://github.com/huggingface/setfit/issues/500) and sentence-transformers)
We're investigating the possibility to use SetFit for customer service me…
-
This is my labeled image.
> ![image](https://github.com/ultralytics/JSON2YOLO/assets/13531174/5ff8f927-1555-4037-bb69-0bb8cb4386e5)
This is xml annotation file from CVAT.
> ![image](https://gi…
-
Can you share the code that handles multi-label classification in this paper
Thank you very much
-
Very interesting work!
I was wondering if ProtoTree can be applied in multi label classification setting, say in the domain of medical image analysis.
If not, do you know what are the short comings …
-
I was working on creating a tutorial for adding computational feedback to our [data labelling platform](https://docs.argilla.io/en/latest/guides/llms/practical_guides/create_dataset.html#define-questi…
-
# Feature
Having the library support Multi-label/mult-target outputs would be nice. As you mentioned, `MultiOutputClassifier` from `sklearn` could be used to adapt the library in a general case.
# B…
-
Hello, thank you for your great work. Could you please tell me where the Multi-label contrastive loss in your paper is implemented? I really can't find it, thank you very much.
-
Hi, is there a way to have the labels for the legend in multiple languages ?
-
Hi, I have a ground-truth with 3 classes including background with values 0,127,255. As mentioned in #43 I changed num_classes=3 in axialnet.py
In utils.py,
https://github.com/jeya-maria-jose/Medic…
-
Does this implementation support conditioning with multiple labels? Or what does c_dim stand for?
Kind regards!
Edit: I was also wondering if training with `--aug noaug` would correspond to vani…