A model fine-tuned on the
IDRID
dataset of retinal fundus images, initialised from the base open-eye/RETFound_MAE model for fundus images.
This model achieves good accuracy in the task of classifying level of diabetic retinopathy in fundus (0 = no DR, 1 = mild DR, 2 = moderate DR, 3 = severe DR, 4 = progressed DR).
NOTE
this model was trained on greyscale images, so please ensure your images are converted to greyscale before running inference using this model.
Runs of bitfount RETFound_DR_IDRID on huggingface.co
41
Total runs
0
24-hour runs
0
3-day runs
-2
7-day runs
25
30-day runs
More Information About RETFound_DR_IDRID huggingface.co Model
RETFound_DR_IDRID huggingface.co is an AI model on huggingface.co that provides RETFound_DR_IDRID's model effect (), which can be used instantly with this bitfount RETFound_DR_IDRID model. huggingface.co supports a free trial of the RETFound_DR_IDRID model, and also provides paid use of the RETFound_DR_IDRID. Support call RETFound_DR_IDRID model through api, including Node.js, Python, http.
RETFound_DR_IDRID huggingface.co is an online trial and call api platform, which integrates RETFound_DR_IDRID's modeling effects, including api services, and provides a free online trial of RETFound_DR_IDRID, you can try RETFound_DR_IDRID online for free by clicking the link below.
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RETFound_DR_IDRID is an open source model from GitHub that offers a free installation service, and any user can find RETFound_DR_IDRID on GitHub to install. At the same time, huggingface.co provides the effect of RETFound_DR_IDRID install, users can directly use RETFound_DR_IDRID installed effect in huggingface.co for debugging and trial. It also supports api for free installation.