Update README.md
Browse files
README.md
CHANGED
@@ -125,7 +125,7 @@ Precision and Recall with IoU-threshold of 0.5, mAP50 and mAP.
|
|
125 |
|
126 |
5-fold cross-validation results:
|
127 |
|
128 |
-
Model | Precision, max | Precision, mean | Precision, min | Recall, max | Recall, mean | Recall, min | mAP, max | mAP, mean | mAP, min | mAP50, max | mAP50, mean | mAP50, min |
|
129 |
|:--------|-----------------------:|------------------------:|-----------------------:|--------------------:|---------------------:|--------------------:|-----------------:|------------------:|-----------------:|-------------------:|--------------------:|-------------------:|
|
130 |
| yolov8n | 0.85001 | 0.840136 | 0.82782 | 0.82951 | 0.804012 | 0.78738 | 0.38816 | 0.380828 | 0.37637 | 0.84525 | 0.833424 | 0.81883 |
|
131 |
| yolov8s | 0.86717 | 0.854216 | 0.84347 | 0.84939 | 0.84065 | 0.83222 | 0.41098 | 0.406258 | 0.40374 | 0.86933 | 0.861404 | 0.84934 |
|
@@ -133,16 +133,15 @@ Precision and Recall with IoU-threshold of 0.5, mAP50 and mAP.
|
|
133 |
| yolov8l | 0.86911 | 0.863254 | 0.85604 | 0.86468 | 0.841572 | 0.82725 | 0.41694 | 0.411712 | 0.40505 | 0.88288 | 0.867134 | 0.85743 |
|
134 |
| yolov8x | 0.86411 | 0.856008 | 0.85045 | 0.86086 | 0.845044 | 0.83029 | 0.42065 | 0.411532 | 0.40231 | 0.87069 | 0.863538 | 0.85316 |
|
135 |
|
136 |
-
|
137 |
-
|
138 |
-
| Model | Precision, max | Precision, mean | Precision, min | Recall, max | Recall, mean | Recall, min | mAP, max | mAP, mean | mAP, min | mAP50, max | mAP50, mean | mAP50, min |
|
139 |
-
|:--------|-----------------------:|------------------------:|-----------------------:|--------------------:|---------------------:|--------------------:|-----------------:|------------------:|-----------------:|-------------------:|--------------------:|-------------------:|
|
140 |
-
| yolov8n | 0.773252 | 0.755268 | 0.738894 | 0.833611 | 0.821598 | 0.811092 | 0.29 | 0.2844 | 0.277 | 0.766 | 0.7466 | 0.732 |
|
141 |
-
| yolov8s | 0.792886 | 0.779485 | 0.768628 | 0.845133 | 0.832765 | 0.825042 | 0.311 | 0.3054 | 0.298 | 0.784 | 0.7756 | 0.764 |
|
142 |
-
| yolov8m | 0.825823 | 0.792868 | 0.772218 | 0.857435 | 0.839866 | 0.807621 | 0.324 | 0.318 | 0.314 | 0.801 | 0.7808 | 0.769 |
|
143 |
-
| yolov8l | 0.801311 | 0.789472 | 0.772199 | 0.851569 | 0.844953 | 0.835289 | 0.326 | 0.323 | 0.317 | 0.797 | 0.7854 | 0.776 |
|
144 |
-
| yolov8x | 0.801969 | 0.784667 | 0.773465 | 0.845454 | 0.832825 | 0.799519 | 0.322 | 0.3154 | 0.304 | 0.788 | 0.7776 | 0.755 |
|
145 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
146 |
|
147 |
### Compute Infrastructure
|
148 |
|
|
|
125 |
|
126 |
5-fold cross-validation results:
|
127 |
|
128 |
+
| Model | Precision, max | Precision, mean | Precision, min | Recall, max | Recall, mean | Recall, min | mAP, max | mAP, mean | mAP, min | mAP50, max | mAP50, mean | mAP50, min |
|
129 |
|:--------|-----------------------:|------------------------:|-----------------------:|--------------------:|---------------------:|--------------------:|-----------------:|------------------:|-----------------:|-------------------:|--------------------:|-------------------:|
|
130 |
| yolov8n | 0.85001 | 0.840136 | 0.82782 | 0.82951 | 0.804012 | 0.78738 | 0.38816 | 0.380828 | 0.37637 | 0.84525 | 0.833424 | 0.81883 |
|
131 |
| yolov8s | 0.86717 | 0.854216 | 0.84347 | 0.84939 | 0.84065 | 0.83222 | 0.41098 | 0.406258 | 0.40374 | 0.86933 | 0.861404 | 0.84934 |
|
|
|
133 |
| yolov8l | 0.86911 | 0.863254 | 0.85604 | 0.86468 | 0.841572 | 0.82725 | 0.41694 | 0.411712 | 0.40505 | 0.88288 | 0.867134 | 0.85743 |
|
134 |
| yolov8x | 0.86411 | 0.856008 | 0.85045 | 0.86086 | 0.845044 | 0.83029 | 0.42065 | 0.411532 | 0.40231 | 0.87069 | 0.863538 | 0.85316 |
|
135 |
|
136 |
+
Models with best performance for test set for each model architecture:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
137 |
|
138 |
+
| Model | Fold | Precision | Recall | mAP50 | mAP |
|
139 |
+
|:------|------|-----------|--------|-------|-----|
|
140 |
+
|yolov8n| 1| 0.7639|0.833611| 0.766|0.290|
|
141 |
+
|yolov8s| 4| 0.776751|0.845133| 0.784|0.304|
|
142 |
+
|yolov8m| 4| 0.790741|0.857435| 0.801|0.324|
|
143 |
+
|yolov8l| 1| 0.772199|0.851569| 0.797|0.326|
|
144 |
+
|yolov8x| 1| 0.780507|0.838783| 0.788|0.319|
|
145 |
|
146 |
### Compute Infrastructure
|
147 |
|