-
make a ml model which would detect from image if a person requires a medical emergency or not
-
### Issue Type
Bug
### Source
source
### Giskard Library Version
2.14.0
### Giskard Hub Version
2.14.0
### OS Platform and Distribution
Linux Ubuntu 20.04
### Python vers…
-
The current approach to finetune the model on downstream task is to freeze the Dinov2 backbone and finetune the head, but i want to use large unlabelled dataset to continue training the Dinov2 to fit …
-
**Short Description**
Single-Image Super-Resolution describes the domain of enhancing image resolution for single images (as opposed to groups of images of a scene, for example). Solutions in this do…
-
- [LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day](https://arxiv.org/abs/2306.00890)
- [MEDITRON-70B: Scaling Medical Pretraining for Large Language Models](http…
-
**Is your feature request related to a problem? Please describe.**
The Coronavirus Disease 2019 (COVID-19) has brought a worldwide threat to the living society. The whole world is putting incredible …
-
The model only supports the mask in the one-hot format, if I have a mask of labels, should I extract each label separately according to the pixels and then train it? It's also too much trouble!
-
The RIGA
dataset contains 650 fundus images with pixel-wise cup/disc masks labeled by
experts, but image-level glaucoma labels are not provided
Almazroa, A., et al.: Retinal fundus images for gla…
-
Thank you for your work. I manage to reproduce your implementation but I encounter problems adapting it to the dataset: https://www.cityscapes-dataset.com/ Do you have a recommendation to adapt your i…
-
**Submitting author:** @gacou54 (Gabriel Couture)
**Repository:** https://github.com/gacou54/pyorthanc
**Branch with paper.md** (empty if default branch): joss
**Version:** v1.18.0
**Editor:** Pending…