Create README.md

README.md

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+# Model Description
+This model detects dogs in images and catorgizes them into small, meddium, and large based on average weight of an adult of that breed. The weight classes generall follow: less than 30lbs for small doges, between 30lbs and 50lbs for meddium and greater than 50lbs for large dogs.
+Training was done by fine tunning the yolov11 model. Due to the large physical differences between dog breed, this model is intended to be used to determine counts of each type in order to better meet the needs to the group in the area.  
+***
+# Training Data
+This model is trained using the follow roboflow dataset: [Link](https://universe.roboflow.com/igor-romanica-gmail-com/stanford-dogs-0pff9).
+The roboflow page is using a subset of the [Standford Dogs Dataset](http://vision.stanford.edu/aditya86/ImageNetDogs/). The subset consits of images of 60 breeds across 9884 images, about half the breed and image count of the orginal dataset.  
+Annotations included manually sorting each of the 60 breeds into a catagory based on weight(as detailed above). Additionally, some classes were deleted due to the large wieght ranges of the breed. For example, [Xoloitzcuintle](https://en.wikipedia.org/wiki/Xoloitzcuintle) are usually broken into three sub-breeds with different sizes but they are labeled in the dataset under on catogry. 
+***
+# Training Prcedure
+***
+# Evaluation Resuls
+### *Comprehensive Metrics*
+### *Detailed Per-Class Breakdown*
+### *Examples Of Classes*
+### *Visualizations*
+### *Performance Analysis*
+***
+# Limitations and Biases
+### *Known failure cases*
+### *Poor performing classes*
+### *Data biases*
+### *Environmental/contextual limitations*
+### *Inappropriate use cases*
+### *Ethical considerations*
+### *Sample size limitations*