Update README.md

README.md

@@ -22,17 +22,19 @@ 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/tree/main/Computer%20Vision/Object%20Detection/Trained%2C%20But%20to%20Standard/NFL%20Object%20Detection/Successful%20Attempt
+
+* Fine-tuning and evaluation of this model are in separate files.
 
 ** If you plan on fine-tuning an Object Detection model on the NFL Helmet detection dataset, I would 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/keremberke/nfl-object-detection
 
 ## Training procedure
 
@@ -48,6 +50,22 @@ The following hyperparameters were used during training:
 - num_epochs: 18
 
 ### Training results
+ 
+| Metric Name | IoU | Area | maxDets | Metric Value |
+|:-----:|:-----:|:-----:|:-----:|:-----:|
+| Average Precision  (AP) | IoU=0.50:0.95 | area=   all | maxDets=100 | 0.003 |
+| Average Precision  (AP) | IoU=0.50      | area=   all | maxDets=100 | 0.010 |
+| Average Precision  (AP) | IoU=0.75      | area=   all | maxDets=100 | 0.000 |
+| Average Precision  (AP) | IoU=0.50:0.95 | area= small | maxDets=100 | 0.002 |
+| Average Precision  (AP) | IoU=0.50:0.95 | area=medium | maxDets=100 | 0.014 |
+| Average Precision  (AP) | IoU=0.50:0.95 | area= large | maxDets=100 | 0.000 |
+| Average Recall     (AR) | IoU=0.50:0.95 | area=   all | maxDets=  1 | 0.002 |
+| Average Recall     (AR) | IoU=0.50:0.95 | area=   all | maxDets= 10 | 0.014 |
+| Average Recall     (AR) | IoU=0.50:0.95 | area=   all | maxDets=100 | 0.029 |
+| Average Recall     (AR) | IoU=0.50:0.95 | area= small | maxDets=100 | 0.026 |
+| Average Recall     (AR) | IoU=0.50:0.95 | area=medium | maxDets=100 | 0.105 |
+| Average Recall     (AR) | IoU=0.50:0.95 | area= large | maxDets=100 | 0.000 |
+
 
 ### Framework versions