ultralytics 8.2.2 replace COCO128 with COCO8 (#10167)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

ultralytics/utils/__init__.py

@@ -61,7 +61,7 @@ HELP_MSG = """
         model = YOLO("yolov8n.pt")  # load a pretrained model (recommended for training)
 
         # Use the model
-        results = model.train(data="coco128.yaml", epochs=3)  # train the model
+        results = model.train(data="coco8.yaml", epochs=3)  # train the model
         results = model.val()  # evaluate model performance on the validation set
         results = model('https://ultralytics.com/images/bus.jpg')  # predict on an image
         success = model.export(format='onnx')  # export the model to ONNX format
@@ -78,13 +78,13 @@ HELP_MSG = """
                         See all ARGS at https://docs.ultralytics.com/usage/cfg or with 'yolo cfg'
 
         - Train a detection model for 10 epochs with an initial learning_rate of 0.01
-            yolo detect train data=coco128.yaml model=yolov8n.pt epochs=10 lr0=0.01
+            yolo detect train data=coco8.yaml model=yolov8n.pt epochs=10 lr0=0.01
 
         - Predict a YouTube video using a pretrained segmentation model at image size 320:
             yolo segment predict model=yolov8n-seg.pt source='https://youtu.be/LNwODJXcvt4' imgsz=320
 
         - Val a pretrained detection model at batch-size 1 and image size 640:
-            yolo detect val model=yolov8n.pt data=coco128.yaml batch=1 imgsz=640
+            yolo detect val model=yolov8n.pt data=coco8.yaml batch=1 imgsz=640
 
         - Export a YOLOv8n classification model to ONNX format at image size 224 by 128 (no TASK required)
             yolo export model=yolov8n-cls.pt format=onnx imgsz=224,128