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tutorial.ipynb

         "id": "eyTZYGgRjnMc"
       },
       "source": [
-        "## COCO val2017\n",
+        "## COCO val\n",
         "Download [COCO val 2017](https://github.com/ultralytics/yolov5/blob/74b34872fdf41941cddcf243951cdb090fbac17b/data/coco.yaml#L14) dataset (1GB - 5000 images), and test model accuracy."
       ]
     },
         "outputId": "7e6f5c96-c819-43e1-cd03-d3b9878cf8de"
       },
       "source": [
-        "# Download COCO val2017\n",
-        "torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco2017val.zip', 'tmp.zip')\n",
+        "# Download COCO val\n",
+        "torch.hub.download_url_to_file('https://ultralytics.com/assets/coco2017val.zip', 'tmp.zip')\n",
         "!unzip -q tmp.zip -d ../datasets && rm tmp.zip"
       ],
       "execution_count": null,
         "outputId": "3dd0e2fc-aecf-4108-91b1-6392da1863cb"
       },
       "source": [
-        "# Run YOLOv5x on COCO val2017\n",
+        "# Run YOLOv5x on COCO val\n",
         "!python val.py --weights yolov5x.pt --data coco.yaml --img 640 --iou 0.65 --half"
       ],
       "execution_count": null,
         "id": "rc_KbFk0juX2"
       },
       "source": [
-        "## COCO test-dev2017\n",
+        "## COCO test\n",
         "Download [COCO test2017](https://github.com/ultralytics/yolov5/blob/74b34872fdf41941cddcf243951cdb090fbac17b/data/coco.yaml#L15) dataset (7GB - 40,000 images), to test model accuracy on test-dev set (**20,000 images, no labels**). Results are saved to a `*.json` file which should be **zipped** and submitted to the evaluation server at https://competitions.codalab.org/competitions/20794."
       ]
     },
       },
       "source": [
         "# Download COCO test-dev2017\n",
-        "torch.hub.download_url_to_file('https://github.com/ultralytics/yolov5/releases/download/v1.0/coco2017labels.zip', 'tmp.zip')\n",
-        "!unzip -q tmp.zip -d ../ && rm tmp.zip # unzip labels\n",
-        "!f=\"test2017.zip\" && curl http://images.cocodataset.org/zips/$f -o $f && unzip -q $f && rm $f  # 7GB,  41k images\n",
-        "%mv ./test2017 ../coco/images  # move to /coco"
+        "torch.hub.download_url_to_file('https://ultralytics.com/assets/coco2017labels.zip', 'tmp.zip')\n",
+        "!unzip -q tmp.zip -d ../datasets && rm tmp.zip # unzip labels\n",
+        "!f=\"test2017.zip\" && curl http://images.cocodataset.org/zips/$f -o $f && unzip -q $f -d ../datasets/coco/images  # 7GB 41k images"
       ],
       "execution_count": null,
       "outputs": []
         "id": "29GJXAP_lPrt"
       },
       "source": [
-        "# Run YOLOv5s on COCO test-dev2017 using --task test\n",
+        "# Run YOLOv5s on COCO test\n",
         "!python val.py --weights yolov5s.pt --data coco.yaml --task test"
       ],
       "execution_count": null,