Update README.md

README.md

@@ -21,17 +21,21 @@ This model is a fine-tuned version of [hustvl/yolos-tiny](https://huggingface.co
 
 ## Model description
 
-More information needed
+For more information on how it was created, check out the following link: https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/blob/main/Computer%20Vision/Object%20Detection/Brain%20Tumors/Brain_Tumor_m2pbp_Object_Detection_YOLOS.ipynb
 
 **If you intend on trying this project yourself, I highly recommend using (at least) the yolos-small checkpoint.
 
 ## Intended uses & limitations
 
-More information needed
+This model is intended to demonstrate my ability to solve a complex problem using technology.
 
 ## Training and evaluation data
 
-More information needed
+Dataset Source: https://huggingface.co/datasets/Francesco/brain-tumor-m2pbp
+
+**Example**
+
+![Example Image](https://raw.githubusercontent.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/main/Computer%20Vision/Object%20Detection/Brain%20Tumors/Images/Example.png)
 
 ## Training procedure
 
@@ -48,6 +52,20 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Metric Name | IoU | Area | maxDets | Metric Value |
+|:-----:|:-----:|:-----:|:-----:|:-----:|
+| Average Precision  (AP) | IoU=0.50:0.95 | area=   all | maxDets=100 | 0.185
+| Average Precision  (AP) | IoU=0.50      | area=   all | maxDets=100 | 0.448
+| Average Precision  (AP) | IoU=0.75      | area=   all | maxDets=100 | 0.126
+| Average Precision  (AP) | IoU=0.50:0.95 | area= small | maxDets=100 | 0.001
+| Average Precision  (AP) | IoU=0.50:0.95 | area=medium | maxDets=100 | 0.080
+| Average Precision  (AP) | IoU=0.50:0.95 | area= large | maxDets=100 | 0.296
+| Average Recall     (AR) | IoU=0.50:0.95 | area=   all | maxDets=  1 | 0.254
+| Average Recall     (AR) | IoU=0.50:0.95 | area=   all | maxDets= 10 | 0.353
+| Average Recall     (AR) | IoU=0.50:0.95 | area=   all | maxDets=100 | 0.407
+| Average Recall     (AR) | IoU=0.50:0.95 | area= small | maxDets=100 | 0.036
+| Average Recall     (AR) | IoU=0.50:0.95 | area=medium | maxDets=100 | 0.312
+| Average Recall     (AR) |IoU=0.50:0.95 | area= large | maxDets=100 | 0.565
 
 ### Framework versions