Update README.md

README.md

@@ -18,19 +18,23 @@ pipeline_tag: object-detection
 
 # yolos-small-Liver_Disease
 
-This model is a fine-tuned version of [hustvl/yolos-small](https://huggingface.co/hustvl/yolos-small) on an unknown dataset.
+This model is a fine-tuned version of [hustvl/yolos-small](https://huggingface.co/hustvl/yolos-small).
 
 ## Model description
 
-More information needed
+https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/blob/main/Computer%20Vision/Object%20Detection/Liver%20Disease%20Object%20Detection/Liver_Disease_Detection_YOLOS.ipynb
 
 ## 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/liver-disease
+
+**Example Image**
+
+![Example Image](https://raw.githubusercontent.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/main/Computer%20Vision/Object%20Detection/Liver%20Disease%20Object%20Detection/Images/Example.png)
 
 ## Training procedure
 
@@ -47,6 +51,22 @@ 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 | 0.254 |
+| Average Precision  (AP) | IoU=0.50      | area=   all | maxDets=100 | 0.399 |
+| Average Precision  (AP) | IoU=0.75      | area=   all | maxDets=100 | 0.291 |
+| Average Precision  (AP) | IoU=0.50:0.95 | area= small | maxDets=100 | 0.000 |
+| Average Precision  (AP) | IoU=0.50:0.95 | area=medium | maxDets=100 | 0.154 |
+| Average Precision  (AP) | IoU=0.50:0.95 | area= large | maxDets=100 | 0.283 |
+| Average Recall     (AR) | IoU=0.50:0.95 | area=   all | maxDets=  1 | 0.147 |
+| Average Recall     (AR) | IoU=0.50:0.95 | area=   all | maxDets= 10 | 0.451 |
+| Average Recall     (AR) | IoU=0.50:0.95 | area=   all | maxDets=100 | 0.552 |
+| Average Recall     (AR) | IoU=0.50:0.95 | area= small | maxDets=100 | 0.000 |
+| Average Recall     (AR) | IoU=0.50:0.95 | area=medium | maxDets=100 | 0.444 |
+| Average Recall     (AR) | IoU=0.50:0.95 | area= large | maxDets=100 | 0.572 |
+
+ 
 ### Framework versions
 
 - Transformers 4.31.0