Ultralytics Asset URL Update (#13181)

Refactor code for speed and clarity

classify/train.py

@@ -109,7 +109,7 @@ def train(opt, device):
             if str(data) == "imagenet":
                 subprocess.run(["bash", str(ROOT / "data/scripts/get_imagenet.sh")], shell=True, check=True)
             else:
-                url = f"https://github.com/ultralytics/yolov5/releases/download/v1.0/{data}.zip"
+                url = f"https://github.com/ultralytics/assets/releases/download/v0.0.0/{data}.zip"
                 download(url, dir=data_dir.parent)
             s = f"Dataset download success ✅ ({time.time() - t:.1f}s), saved to {colorstr('bold', data_dir)}\n"
             LOGGER.info(s)

classify/tutorial.ipynb

@@ -1290,7 +1290,7 @@
             "\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir runs/train-cls', view at http://localhost:6006/\n",
             "\n",
             "Dataset not found ⚠️, missing path /content/datasets/imagenette160, attempting download...\n",
-            "Downloading https://github.com/ultralytics/yolov5/releases/download/v1.0/imagenette160.zip to /content/datasets/imagenette160.zip...\n",
+            "Downloading https://github.com/ultralytics/assets/releases/download/v0.0.0/imagenette160.zip to /content/datasets/imagenette160.zip...\n",
             "100% 103M/103M [00:00<00:00, 347MB/s] \n",
             "Unzipping /content/datasets/imagenette160.zip...\n",
             "Dataset download success ✅ (3.3s), saved to \u001b[1m/content/datasets/imagenette160\u001b[0m\n",