Rename YOLO folder to detector

classification/evaluation/eval-test-yolo.ipynb

@@ -178,17 +178,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 17,
    "id": "0b86639e",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "['2023.02.28.10.28.50', 'dataset', 'dataset-small', 'yolo', 'yolo_test']"
+       "['dataset', 'dataset-small', 'yolo', 'yolo_test']"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -304,7 +304,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "04de8608",
+   "id": "0c8a3151",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -318,7 +318,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "78144a0a",
+   "id": "5baf367a",
    "metadata": {},
    "source": [
     "The code for the LaTeX table of the classification report can be printed by first converting the results to a pandas DataFrame and then calling the `to_latex()` method of the DataFrame. This code can then be inserted into the LaTeX document."
@@ -358,7 +358,7 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "5cbf690d",
+   "id": "a6e0e146",
    "metadata": {},
    "outputs": [
     {