Update README.md

README.md

@@ -31,9 +31,9 @@ Combined total 13350 (a few removed due to annotation issues)
 |--------|--------|
 | 395,753 | 358,538 |
 
-Limitation: not all instances of classes are annotated in images; some parking spaces missed (see below)
-<img alt="Example Image 1" src="https://huggingface.co/cvtechniques/ParkingLotDetection/resolve/main/example1.png" width="400"/>
-<img alt="Example Image 2" src="https://huggingface.co/cvtechniques/ParkingLotDetection/resolve/main/example2.png" width="400"/>
+Limitation: not all instances of classes are annotated in images; some both empty and filled parking spaces missed (see below)
+<img alt="Example Image 1" src="example1.png" width="400"/>
+<img alt="Example Image 2" src="example2.png" width="400"/>
 
 # Training Procedure
 
@@ -68,16 +68,16 @@ Training specs:
 -->
 **Key Visualizations:**
 
-<img alt="Confusion Matrix" src="https://huggingface.co/cvtechniques/ParkingLotDetection/resolve/main/confusion_matrix_normalized.png" width="700"/>
-<img alt="F1-Confidence Graph" src="https://huggingface.co/cvtechniques/ParkingLotDetection/resolve/main/BoxF1_curve.png" width="700"/>
-<img alt="Precision-Confidence Graph" src="https://huggingface.co/cvtechniques/ParkingLotDetection/resolve/main/BoxP_curve.png" width="700"></img>
+<img alt="Confusion Matrix" src="confusion_matrix_normalized.png" width="700"/>
+<img alt="F1-Confidence Graph" src="BoxF1_curve.png" width="700"/>
+<img alt="Precision-Confidence Graph" src="BoxP_curve.png" width="700"/>
 
 **Performance Analysis:**
 <!--
 This is where you demonstrate critical thinking. Interpret your results - don't just present numbers
 -->
 
-Model performs extremely well in all metrics, however -
+Model performs extremely well in all metrics, however -vtechniques/
 
 confusion matrix shows false positives with background ~50% of the time…