Update README.md

README.md

@@ -1,20 +1,20 @@
----
-tags:
-- image-classification
-- timm
-- transformers
-- fastai
-library_name: fastai
-license: apache-2.0
-datasets:
-- imagenet-1k
-- imagenet-22k
-- iloncka/mosquito-species-classification-dataset
-metrics:
-- accuracy
-base_model:
-- timm/tiny_vit_21m_224.dist_in22k_ft_in1k
----
+---
+tags:
+- image-classification
+- timm
+- transformers
+- fastai
+library_name: fastai
+license: apache-2.0
+datasets:
+- imagenet-1k
+- imagenet-22k
+- iloncka/mosquito-species-classification-dataset
+metrics:
+- accuracy
+base_model:
+- timm/tiny_vit_21m_224.dist_in22k_ft_in1k
+---
 
 # Model Card for `culico-net-cls-v1`
 
@@ -53,6 +53,9 @@ _, _, probabilities = learner.predict(image)
 
 The culico-net-cls-v1 model is a component of the larger CulicidaeLab project. This project aims to provide a comprehensive suite of tools for mosquito monitoring and research. Other parts of the project include:
 
+* **Related Models:**
+  - [iloncka/culico-net-det-v1](https://huggingface.co/iloncka/culico-net-det-v1) - Detection model
+  - [iloncka/culico-net-segm-v1-nano](https://huggingface.co/iloncka/culico-net-segm-v1-nano) - Segmentation model
 *   **Datasets:**
     *   `iloncka/mosquito-species-detection-dataset`
     *   `iloncka/mosquito-species-segmentation-dataset`