diff --git a/examples/sahi_detection.ipynb b/examples/sahi_detection.ipynb
index 021f9ba..af29a41 100644
--- a/examples/sahi_detection.ipynb
+++ b/examples/sahi_detection.ipynb
@@ -4,10 +4,7 @@
    "cell_type": "markdown",
    "id": "5fec46c020b895a",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "# Welcome to the SAHI detection notebook. \n",
@@ -19,10 +16,7 @@
    "cell_type": "markdown",
    "id": "3ce3d68ddd33bd3c",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "# First, import needed dependencies"
@@ -37,7 +31,6 @@
    "source": [
     "import sys\n",
     "sys.path.append('..')\n",
-    "from pathlib import Path\n",
     "from huggingface_hub import hf_hub_download\n",
     "from pathlib import Path\n",
     "from sdcat.detect.sahi_detector import run_sahi_detect\n",
@@ -48,10 +41,7 @@
    "cell_type": "markdown",
    "id": "a366e55bf59e7a79",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "# Run detection\n",
@@ -65,10 +55,7 @@
    "id": "9f9dd3f8-c886-4d32-a203-5204a343e721",
    "metadata": {
     "collapsed": false,
-    "is_executing": true,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "is_executing": true
    },
    "outputs": [
     {
@@ -172,10 +159,7 @@
    "cell_type": "markdown",
    "id": "3bda2110765d92e2",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "# Results"
@@ -185,10 +169,7 @@
    "cell_type": "markdown",
    "id": "ae874cee7b4e83a9",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "Results are saved to the **csv_out_path**. Let's take a look at the first few rows of the dataframe."