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tutorial.ipynb

@@ -1064,7 +1064,7 @@
       "cell_type": "code",
       "source": [
         "# Classification val\n",
-        "!bash data/scripts/get_imagenet.sh --val  # download ImageNet val split (6.3G, 50000 images)\n",
+        "!bash data/scripts/get_imagenet.sh --val  # download ImageNet val split (6.3G - 50000 images)\n",
         "!python classify/val.py --weights yolov5m-cls.pt --data ../datasets/imagenet --img 224  # validate"
       ],
       "metadata": {
@@ -1077,7 +1077,7 @@
       "cell_type": "code",
       "source": [
         "# Validate on COCO test. Zip results.json and submit to eval server at https://competitions.codalab.org/competitions/20794\n",
-        "!bash data/scripts/get_coco.sh --test  # download COCO test-dev2017 (7G - 40,000 images, test 20,000)\n",
+        "!bash data/scripts/get_coco.sh --test  # download COCO test-dev2017 (7G - 40000 images, test 20000)\n",
         "!python val.py --weights yolov5x.pt --data coco.yaml --img 640 --iou 0.65 --half --task test"
       ],
       "metadata": {