Update README.md

README.md

@@ -5,8 +5,15 @@ base_model:
 
 Clearly establishes the broader context and purpose of the model card, articulating the need for the model within its application domain and explaining its environmental or real-world relevance.
 
+# Context and Need:
+This object detection model has been created for the purpose of being able to identify glass eels in marine enviorments. This model aims to provide scientists with a way to monitor juvenile eels as they are still not fully understood.
+
 Clearly describes the dataset used, including data sources, features, metadata, and class distributions (with counts for each class).
 
+The dataset used is available in the files and versions under the name ONCCameraFootage.zip. This footage was used to train the model on detection of glass eels in low light enviorments. All of the data is taken from MP4 files from the ONC 
+
+*ONC Acknowledgement*
+
 Clearly presents and explains the choice of model, including a detailed rationale for its selection and a clear plan for implementation.
 
 Clearly describes the performance metrics used to assess the model, includes at least one performance-related graph (e.g., training/validation loss, accuracy, or clustering context figure), and provides a detailed explanation of its significance. For unsupervised learning (e.g., KMeans), a context figure showing cluster distribution and meaning is required.