Update README.md

README.md

@@ -11,7 +11,7 @@ license: apache-2.0
 
 ## Overview
 
-InsectSAM is an advanced machine learning model tailored for the https://diopsis.eu camera systems and https://www.arise-biodiversity.nl/, dedicated to Insect Biodiversity Detection and Monitoring in the Netherlands. Built on Meta AI's `segment-anything` model, InsectSAM excels at segmenting insects from complex backgrounds, enhancing the accuracy and efficiency of biodiversity monitoring efforts.
+InsectSAM is an advanced machine learning model tailored for the https://diopsis.eu camera systems and https://www.arise-biodiversity.nl/, dedicated to Insect Biodiversity Detection and Monitoring in the Netherlands. Built on Meta AI's `segment-anything` model, InsectSAM is fine-tuned to be accurate at segmenting insects from complex backgrounds, enhancing the accuracy and efficiency of biodiversity monitoring efforts.
 
 ## Purpose
 
@@ -46,9 +46,10 @@ model = AutoModelForMaskGeneration.from_pretrained("martintmv/InsectSAM")
 
 ### Notebooks
 
-Two Jupyter notebooks are provided to demonstrate the model's capabilities and its integration with GroundingDINO:
+Three Jupyter notebooks are provided to demonstrate the model's capabilities and its integration with GroundingDINO:
 
 - **InsectSAM.ipynb**: Covers the training process, from data preparation to model evaluation.
 - **InsectSAM_GroundingDINO.ipynb**: Demonstrates how InsectSAM is combined with GroundingDINO for enhanced segmentation performance.
+- **Run_InsectSAM_Inference_Transformers.ipynb**: Run InsectSAM using Transformers.
 
 Check out the notebooks on RB-IBDM's GitHub page - https://github.com/martintmv-git/RB-IBDM/tree/main/InsectSAM