Update README.md

README.md

@@ -13,11 +13,11 @@ datasets:
 base_model:
   - facebook/sam2-hiera-tiny
 ---
-Model Card for culico-net-segm-v1-nano
+Model Card for `culico-net-segm-v1-nano`
 
-culico-net-segm-v1-nano - instance segmentation model focused on segmenting mosquito specimens in images and videos. This model is a result of the CulicidaeLab project and was developed by fine-tuning the SAM2 (Segment Anything Model 2) architecture.
+`culico-net-segm-v1-nano` - instance segmentation model focused on segmenting mosquito specimens in images and videos. This model is a result of the CulicidaeLab project and was developed by fine-tuning the SAM2 (Segment Anything Model 2) architecture.
 
-The culico-net-segm-v1-nano is based on SAM2's efficient Hiera-Tiny backbone and was specifically adapted for mosquito specimen segmentation using a dedicated dataset. This model can handle both image segmentation and video segmentation tasks with prompt-based interaction.
+The `culico-net-segm-v1-nano` is based on SAM2's efficient Hiera-Tiny backbone and was specifically adapted for mosquito specimen segmentation using a dedicated dataset. This model can handle both image segmentation and video segmentation tasks with prompt-based interaction.
 
 **Model Details:**
 - **Model Type:** Instance segmentation / Mask generation
@@ -30,7 +30,7 @@ The culico-net-segm-v1-nano is based on SAM2's efficient Hiera-Tiny backbone and
 - SAM 2: Segment Anything in Images and Videos: https://arxiv.org/abs/2408.00714
 - Original GitHub Repository: https://github.com/facebookresearch/sam2
 
-**Dataset:** The model was trained on the iloncka/mosquito-species-segmentation-dataset. This is one of a suite of datasets which also includes iloncka/mosquito-species-detection-dataset and iloncka/mosquito-species-classification-dataset. These datasets contain images of various mosquito species with detailed segmentation annotations, crucial for training accurate segmentation models.
+**Dataset:** The model was trained on the `iloncka/mosquito-species-segmentation-dataset`. This is one of a suite of datasets which also includes iloncka/mosquito-species-detection-dataset and iloncka/mosquito-species-classification-dataset. These datasets contain images of various mosquito species with detailed segmentation annotations, crucial for training accurate segmentation models.
 
 **Pretrain Dataset:** ImageNet-1k, SA-1B (Segment Anything 1B dataset)
 
@@ -72,11 +72,11 @@ Refer to the [official SAM2 demo notebooks](https://github.com/facebookresearch/
 
 **The CulicidaeLab Project:**
 
-The culico-net-segm-v1-nano 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:
+The `culico-net-segm-v1-nano 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-cls-v1](https://huggingface.co/iloncka/culico-net-cls-v1) - Classification model
-  - [iloncka/culico-net-det-v1](https://huggingface.co/iloncka/culico-net-det-v1)
+  - [iloncka/culico-net-det-v1](https://huggingface.co/iloncka/culico-net-det-v1) - Detection model
 
 - **Datasets:**
   - [iloncka/mosquito-species-detection-dataset](https://huggingface.co/datasets/iloncka/mosquito-species-detection-dataset)
@@ -93,7 +93,7 @@ The culico-net-segm-v1-nano model is a component of the larger CulicidaeLab proj
 
 **Practical Applications:**
 
-The culico-net-segm-v1-nano model and the broader CulicidaeLab project have several practical applications:
+The `culico-net-segm-v1-nano` model and the broader `CulicidaeLab` project have several practical applications:
 
 - **Precise Morphological Analysis:** Enables detailed examination of mosquito anatomical features for species identification and research.
 - **Automated Specimen Measurement:** Can be used to automatically measure wing dimensions, body size, and other morphological characteristics.
@@ -103,7 +103,8 @@ The culico-net-segm-v1-nano model and the broader CulicidaeLab project have seve
 
 **Acknowledgments:**
 
-The development of CulicidaeLab is supported by a grant from the Foundation for Assistance to Small Innovative Enterprises (FASIE).
+The development of `CulicidaeLab` is supported by a grant from the [Foundation for Assistance to Small Innovative Enterprises (FASIE)]((https://fasie.ru/)).
+
 
 **Citation:**