diff --git a/tests/test_python.py b/tests/test_python.py
index e7963be..61b59d1 100644
--- a/tests/test_python.py
+++ b/tests/test_python.py
@@ -96,5 +96,5 @@ def test_export_paddle():
 
 
 def test_all_model_yamls():
-    for m in list((ROOT / 'yolo/v8/models').rglob('*.yaml')):
+    for m in list((ROOT / 'models').rglob('*.yaml')):
         YOLO(m.name)
diff --git a/ultralytics/models/README.md b/ultralytics/models/README.md
new file mode 100644
index 0000000..f81008e
--- /dev/null
+++ b/ultralytics/models/README.md
@@ -0,0 +1,24 @@
+## Models HUB
+
+Here are the models that are supported out-of-the-box with Ultralytics. For a detailed view and navigation, visit [model hub](<>) section of the docs.
+
+### Usage
+
+You can simply set the `model` parameter to any available yaml config or pretained weights
+
+```bash
+yolo task=... mode=... model=yolov5n.yaml
+```
+
+| Model              | Version/ | size (pixels) | mAPval 50-95 | Speed CPU b1 (ms) | params (M) | FLOPs @640 (B) | model file    | Pretrained Weights |
+| ------------------ | -------- | ------------- | ------------ | ----------------- | ---------- | -------------- | ------------- | ------------------ |
+| YOLOv5n            | v6.3     | 640           | 28.0         | 45                | 1.9        | 4.5            | yolov5n.yaml  | -                  |
+| YOLOv5s            | -        | 640           | 37.4         | 98                | 7.2        | 16.5           | yolov5s.yaml  | -                  |
+| YOLOv5m            | -        | 640           | 45.4         | 224               | 21.2       | 49.0           | yolov5m.yaml  | -                  |
+| YOLOv5l            | -        | 640           | 49.0         | 430               | 46.5       | 109.1          | yolov5l.yaml  | -                  |
+| YOLOv5x            | -        | 640           | 50.7         | 766               | 86.7       | 205.7          | yolov5x.yaml  | -                  |
+| YOLOv5n6           | -        | 1280          | 36.0         | 153               | 3.2        | 4.6            | yolov5n6.yaml | -                  |
+| YOLOv5s6           | -        | 1280          | 44.8         | 385               | 12.6       | 16.8           | yolov5s6.yaml | -                  |
+| YOLOv5m6           | -        | 1280          | 51.3         | 887               | 35.7       | 50.0           | yolov5m6.yaml | -                  |
+| YOLOv5l6           | -        | 1280          | 53.7         | 1784              | 76.8       | 111.4          | yolov5l6.yaml | -                  |
+| YOLOv5x6 + \[TTA\] | -        | 1280 1536     | 55.0 55.8    | 3136 -            | 140.7 -    | 209.8 -        | yolov5x6.yaml | -                  |
diff --git a/ultralytics/models/v3/yolov3-spp.yaml b/ultralytics/models/v3/yolov3-spp.yaml
new file mode 100644
index 0000000..5d6794f
--- /dev/null
+++ b/ultralytics/models/v3/yolov3-spp.yaml
@@ -0,0 +1,47 @@
+# Ultralytics YOLO 🚀, GPL-3.0 license
+
+# Parameters
+nc: 80  # number of classes
+depth_multiple: 1.0  # model depth multiple
+width_multiple: 1.0  # layer channel multiple
+
+# darknet53 backbone
+backbone:
+  # [from, number, module, args]
+  [[-1, 1, Conv, [32, 3, 1]],  # 0
+   [-1, 1, Conv, [64, 3, 2]],  # 1-P1/2
+   [-1, 1, Bottleneck, [64]],
+   [-1, 1, Conv, [128, 3, 2]],  # 3-P2/4
+   [-1, 2, Bottleneck, [128]],
+   [-1, 1, Conv, [256, 3, 2]],  # 5-P3/8
+   [-1, 8, Bottleneck, [256]],
+   [-1, 1, Conv, [512, 3, 2]],  # 7-P4/16
+   [-1, 8, Bottleneck, [512]],
+   [-1, 1, Conv, [1024, 3, 2]],  # 9-P5/32
+   [-1, 4, Bottleneck, [1024]],  # 10
+  ]
+
+# YOLOv3-SPP head
+head:
+  [[-1, 1, Bottleneck, [1024, False]],
+   [-1, 1, SPP, [512, [5, 9, 13]]],
+   [-1, 1, Conv, [1024, 3, 1]],
+   [-1, 1, Conv, [512, 1, 1]],
+   [-1, 1, Conv, [1024, 3, 1]],  # 15 (P5/32-large)
+
+   [-2, 1, Conv, [256, 1, 1]],
+   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
+   [[-1, 8], 1, Concat, [1]],  # cat backbone P4
+   [-1, 1, Bottleneck, [512, False]],
+   [-1, 1, Bottleneck, [512, False]],
+   [-1, 1, Conv, [256, 1, 1]],
+   [-1, 1, Conv, [512, 3, 1]],  # 22 (P4/16-medium)
+
+   [-2, 1, Conv, [128, 1, 1]],
+   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
+   [[-1, 6], 1, Concat, [1]],  # cat backbone P3
+   [-1, 1, Bottleneck, [256, False]],
+   [-1, 2, Bottleneck, [256, False]],  # 27 (P3/8-small)
+
+   [[27, 22, 15], 1, Detect, [nc]],   # Detect(P3, P4, P5)
+  ]
diff --git a/ultralytics/models/v3/yolov3-tiny.yaml b/ultralytics/models/v3/yolov3-tiny.yaml
new file mode 100644
index 0000000..d7921d3
--- /dev/null
+++ b/ultralytics/models/v3/yolov3-tiny.yaml
@@ -0,0 +1,38 @@
+# Ultralytics YOLO 🚀, GPL-3.0 license
+
+# Parameters
+nc: 80  # number of classes
+depth_multiple: 1.0  # model depth multiple
+width_multiple: 1.0  # layer channel multiple
+
+# YOLOv3-tiny backbone
+backbone:
+  # [from, number, module, args]
+  [[-1, 1, Conv, [16, 3, 1]],  # 0
+   [-1, 1, nn.MaxPool2d, [2, 2, 0]],  # 1-P1/2
+   [-1, 1, Conv, [32, 3, 1]],
+   [-1, 1, nn.MaxPool2d, [2, 2, 0]],  # 3-P2/4
+   [-1, 1, Conv, [64, 3, 1]],
+   [-1, 1, nn.MaxPool2d, [2, 2, 0]],  # 5-P3/8
+   [-1, 1, Conv, [128, 3, 1]],
+   [-1, 1, nn.MaxPool2d, [2, 2, 0]],  # 7-P4/16
+   [-1, 1, Conv, [256, 3, 1]],
+   [-1, 1, nn.MaxPool2d, [2, 2, 0]],  # 9-P5/32
+   [-1, 1, Conv, [512, 3, 1]],
+   [-1, 1, nn.ZeroPad2d, [[0, 1, 0, 1]]],  # 11
+   [-1, 1, nn.MaxPool2d, [2, 1, 0]],  # 12
+  ]
+
+# YOLOv3-tiny head
+head:
+  [[-1, 1, Conv, [1024, 3, 1]],
+   [-1, 1, Conv, [256, 1, 1]],
+   [-1, 1, Conv, [512, 3, 1]],  # 15 (P5/32-large)
+
+   [-2, 1, Conv, [128, 1, 1]],
+   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
+   [[-1, 8], 1, Concat, [1]],  # cat backbone P4
+   [-1, 1, Conv, [256, 3, 1]],  # 19 (P4/16-medium)
+
+   [[19, 15], 1, Detect, [nc]],  # Detect(P4, P5)
+  ]
diff --git a/ultralytics/models/v3/yolov3.yaml b/ultralytics/models/v3/yolov3.yaml
new file mode 100644
index 0000000..3ecb642
--- /dev/null
+++ b/ultralytics/models/v3/yolov3.yaml
@@ -0,0 +1,47 @@
+# Ultralytics YOLO 🚀, GPL-3.0 license
+
+# Parameters
+nc: 80  # number of classes
+depth_multiple: 1.0  # model depth multiple
+width_multiple: 1.0  # layer channel multiple
+
+# darknet53 backbone
+backbone:
+  # [from, number, module, args]
+  [[-1, 1, Conv, [32, 3, 1]],  # 0
+   [-1, 1, Conv, [64, 3, 2]],  # 1-P1/2
+   [-1, 1, Bottleneck, [64]],
+   [-1, 1, Conv, [128, 3, 2]],  # 3-P2/4
+   [-1, 2, Bottleneck, [128]],
+   [-1, 1, Conv, [256, 3, 2]],  # 5-P3/8
+   [-1, 8, Bottleneck, [256]],
+   [-1, 1, Conv, [512, 3, 2]],  # 7-P4/16
+   [-1, 8, Bottleneck, [512]],
+   [-1, 1, Conv, [1024, 3, 2]],  # 9-P5/32
+   [-1, 4, Bottleneck, [1024]],  # 10
+  ]
+
+# YOLOv3 head
+head:
+  [[-1, 1, Bottleneck, [1024, False]],
+   [-1, 1, Conv, [512, 1, 1]],
+   [-1, 1, Conv, [1024, 3, 1]],
+   [-1, 1, Conv, [512, 1, 1]],
+   [-1, 1, Conv, [1024, 3, 1]],  # 15 (P5/32-large)
+
+   [-2, 1, Conv, [256, 1, 1]],
+   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
+   [[-1, 8], 1, Concat, [1]],  # cat backbone P4
+   [-1, 1, Bottleneck, [512, False]],
+   [-1, 1, Bottleneck, [512, False]],
+   [-1, 1, Conv, [256, 1, 1]],
+   [-1, 1, Conv, [512, 3, 1]],  # 22 (P4/16-medium)
+
+   [-2, 1, Conv, [128, 1, 1]],
+   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
+   [[-1, 6], 1, Concat, [1]],  # cat backbone P3
+   [-1, 1, Bottleneck, [256, False]],
+   [-1, 2, Bottleneck, [256, False]],  # 27 (P3/8-small)
+
+   [[27, 22, 15], 1, Detect, [nc]],   # Detect(P3, P4, P5)
+  ]
diff --git a/ultralytics/models/v5/yolov5l.yaml b/ultralytics/models/v5/yolov5l.yaml
new file mode 100644
index 0000000..ca3a85d
--- /dev/null
+++ b/ultralytics/models/v5/yolov5l.yaml
@@ -0,0 +1,44 @@
+# Ultralytics YOLO 🚀, GPL-3.0 license
+
+# Parameters
+nc: 80  # number of classes
+depth_multiple: 1.0  # model depth multiple
+width_multiple: 1.0  # layer channel multiple
+
+# YOLOv5 v6.0 backbone
+backbone:
+  # [from, number, module, args]
+  [[-1, 1, Conv, [64, 6, 2, 2]],  # 0-P1/2
+   [-1, 1, Conv, [128, 3, 2]],  # 1-P2/4
+   [-1, 3, C3, [128]],
+   [-1, 1, Conv, [256, 3, 2]],  # 3-P3/8
+   [-1, 6, C3, [256]],
+   [-1, 1, Conv, [512, 3, 2]],  # 5-P4/16
+   [-1, 9, C3, [512]],
+   [-1, 1, Conv, [1024, 3, 2]],  # 7-P5/32
+   [-1, 3, C3, [1024]],
+   [-1, 1, SPPF, [1024, 5]],  # 9
+  ]
+
+# YOLOv5 v6.0 head
+head:
+  [[-1, 1, Conv, [512, 1, 1]],
+   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
+   [[-1, 6], 1, Concat, [1]],  # cat backbone P4
+   [-1, 3, C3, [512, False]],  # 13
+
+   [-1, 1, Conv, [256, 1, 1]],
+   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
+   [[-1, 4], 1, Concat, [1]],  # cat backbone P3
+   [-1, 3, C3, [256, False]],  # 17 (P3/8-small)
+
+   [-1, 1, Conv, [256, 3, 2]],
+   [[-1, 14], 1, Concat, [1]],  # cat head P4
+   [-1, 3, C3, [512, False]],  # 20 (P4/16-medium)
+
+   [-1, 1, Conv, [512, 3, 2]],
+   [[-1, 10], 1, Concat, [1]],  # cat head P5
+   [-1, 3, C3, [1024, False]],  # 23 (P5/32-large)
+
+   [[17, 20, 23], 1, Detect, [nc]],  # Detect(P3, P4, P5)
+  ]
\ No newline at end of file
diff --git a/ultralytics/models/v5/yolov5m.yaml b/ultralytics/models/v5/yolov5m.yaml
new file mode 100644
index 0000000..fddcc63
--- /dev/null
+++ b/ultralytics/models/v5/yolov5m.yaml
@@ -0,0 +1,44 @@
+# Ultralytics YOLO 🚀, GPL-3.0 license
+
+# Parameters
+nc: 80  # number of classes
+depth_multiple: 0.67  # model depth multiple
+width_multiple: 0.75  # layer channel multiple
+
+# YOLOv5 v6.0 backbone
+backbone:
+  # [from, number, module, args]
+  [[-1, 1, Conv, [64, 6, 2, 2]],  # 0-P1/2
+   [-1, 1, Conv, [128, 3, 2]],  # 1-P2/4
+   [-1, 3, C3, [128]],
+   [-1, 1, Conv, [256, 3, 2]],  # 3-P3/8
+   [-1, 6, C3, [256]],
+   [-1, 1, Conv, [512, 3, 2]],  # 5-P4/16
+   [-1, 9, C3, [512]],
+   [-1, 1, Conv, [1024, 3, 2]],  # 7-P5/32
+   [-1, 3, C3, [1024]],
+   [-1, 1, SPPF, [1024, 5]],  # 9
+  ]
+
+# YOLOv5 v6.0 head
+head:
+  [[-1, 1, Conv, [512, 1, 1]],
+   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
+   [[-1, 6], 1, Concat, [1]],  # cat backbone P4
+   [-1, 3, C3, [512, False]],  # 13
+
+   [-1, 1, Conv, [256, 1, 1]],
+   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
+   [[-1, 4], 1, Concat, [1]],  # cat backbone P3
+   [-1, 3, C3, [256, False]],  # 17 (P3/8-small)
+
+   [-1, 1, Conv, [256, 3, 2]],
+   [[-1, 14], 1, Concat, [1]],  # cat head P4
+   [-1, 3, C3, [512, False]],  # 20 (P4/16-medium)
+
+   [-1, 1, Conv, [512, 3, 2]],
+   [[-1, 10], 1, Concat, [1]],  # cat head P5
+   [-1, 3, C3, [1024, False]],  # 23 (P5/32-large)
+
+   [[17, 20, 23], 1, Detect, [nc]],  # Detect(P3, P4, P5)
+  ]
\ No newline at end of file
diff --git a/ultralytics/models/v5/yolov5n.yaml b/ultralytics/models/v5/yolov5n.yaml
new file mode 100644
index 0000000..259e1cf
--- /dev/null
+++ b/ultralytics/models/v5/yolov5n.yaml
@@ -0,0 +1,44 @@
+# Ultralytics YOLO 🚀, GPL-3.0 license
+
+# Parameters
+nc: 80  # number of classes
+depth_multiple: 0.33  # model depth multiple
+width_multiple: 0.25  # layer channel multiple
+
+# YOLOv5 v6.0 backbone
+backbone:
+  # [from, number, module, args]
+  [[-1, 1, Conv, [64, 6, 2, 2]],  # 0-P1/2
+   [-1, 1, Conv, [128, 3, 2]],  # 1-P2/4
+   [-1, 3, C3, [128]],
+   [-1, 1, Conv, [256, 3, 2]],  # 3-P3/8
+   [-1, 6, C3, [256]],
+   [-1, 1, Conv, [512, 3, 2]],  # 5-P4/16
+   [-1, 9, C3, [512]],
+   [-1, 1, Conv, [1024, 3, 2]],  # 7-P5/32
+   [-1, 3, C3, [1024]],
+   [-1, 1, SPPF, [1024, 5]],  # 9
+  ]
+
+# YOLOv5 v6.0 head
+head:
+  [[-1, 1, Conv, [512, 1, 1]],
+   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
+   [[-1, 6], 1, Concat, [1]],  # cat backbone P4
+   [-1, 3, C3, [512, False]],  # 13
+
+   [-1, 1, Conv, [256, 1, 1]],
+   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
+   [[-1, 4], 1, Concat, [1]],  # cat backbone P3
+   [-1, 3, C3, [256, False]],  # 17 (P3/8-small)
+
+   [-1, 1, Conv, [256, 3, 2]],
+   [[-1, 14], 1, Concat, [1]],  # cat head P4
+   [-1, 3, C3, [512, False]],  # 20 (P4/16-medium)
+
+   [-1, 1, Conv, [512, 3, 2]],
+   [[-1, 10], 1, Concat, [1]],  # cat head P5
+   [-1, 3, C3, [1024, False]],  # 23 (P5/32-large)
+
+   [[17, 20, 23], 1, Detect, [nc]],  # Detect(P3, P4, P5)
+  ]
\ No newline at end of file
diff --git a/ultralytics/models/v5/yolov5s.yaml b/ultralytics/models/v5/yolov5s.yaml
new file mode 100644
index 0000000..9e63349
--- /dev/null
+++ b/ultralytics/models/v5/yolov5s.yaml
@@ -0,0 +1,45 @@
+# Ultralytics YOLO 🚀, GPL-3.0 license
+
+# Parameters
+nc: 80  # number of classes
+depth_multiple: 0.33  # model depth multiple
+width_multiple: 0.50  # layer channel multiple
+
+
+# YOLOv5 v6.0 backbone
+backbone:
+  # [from, number, module, args]
+  [[-1, 1, Conv, [64, 6, 2, 2]],  # 0-P1/2
+   [-1, 1, Conv, [128, 3, 2]],  # 1-P2/4
+   [-1, 3, C3, [128]],
+   [-1, 1, Conv, [256, 3, 2]],  # 3-P3/8
+   [-1, 6, C3, [256]],
+   [-1, 1, Conv, [512, 3, 2]],  # 5-P4/16
+   [-1, 9, C3, [512]],
+   [-1, 1, Conv, [1024, 3, 2]],  # 7-P5/32
+   [-1, 3, C3, [1024]],
+   [-1, 1, SPPF, [1024, 5]],  # 9
+  ]
+
+# YOLOv5 v6.0 head
+head:
+  [[-1, 1, Conv, [512, 1, 1]],
+   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
+   [[-1, 6], 1, Concat, [1]],  # cat backbone P4
+   [-1, 3, C3, [512, False]],  # 13
+
+   [-1, 1, Conv, [256, 1, 1]],
+   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
+   [[-1, 4], 1, Concat, [1]],  # cat backbone P3
+   [-1, 3, C3, [256, False]],  # 17 (P3/8-small)
+
+   [-1, 1, Conv, [256, 3, 2]],
+   [[-1, 14], 1, Concat, [1]],  # cat head P4
+   [-1, 3, C3, [512, False]],  # 20 (P4/16-medium)
+
+   [-1, 1, Conv, [512, 3, 2]],
+   [[-1, 10], 1, Concat, [1]],  # cat head P5
+   [-1, 3, C3, [1024, False]],  # 23 (P5/32-large)
+
+   [[17, 20, 23], 1, Detect, [nc]],  # Detect(P3, P4, P5)
+  ]
\ No newline at end of file
diff --git a/ultralytics/models/v5/yolov5x.yaml b/ultralytics/models/v5/yolov5x.yaml
new file mode 100644
index 0000000..8217aff
--- /dev/null
+++ b/ultralytics/models/v5/yolov5x.yaml
@@ -0,0 +1,44 @@
+# Ultralytics YOLO 🚀, GPL-3.0 license
+
+# Parameters
+nc: 80  # number of classes
+depth_multiple: 1.33  # model depth multiple
+width_multiple: 1.25  # layer channel multiple
+
+# YOLOv5 v6.0 backbone
+backbone:
+  # [from, number, module, args]
+  [[-1, 1, Conv, [64, 6, 2, 2]],  # 0-P1/2
+   [-1, 1, Conv, [128, 3, 2]],  # 1-P2/4
+   [-1, 3, C3, [128]],
+   [-1, 1, Conv, [256, 3, 2]],  # 3-P3/8
+   [-1, 6, C3, [256]],
+   [-1, 1, Conv, [512, 3, 2]],  # 5-P4/16
+   [-1, 9, C3, [512]],
+   [-1, 1, Conv, [1024, 3, 2]],  # 7-P5/32
+   [-1, 3, C3, [1024]],
+   [-1, 1, SPPF, [1024, 5]],  # 9
+  ]
+
+# YOLOv5 v6.0 head
+head:
+  [[-1, 1, Conv, [512, 1, 1]],
+   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
+   [[-1, 6], 1, Concat, [1]],  # cat backbone P4
+   [-1, 3, C3, [512, False]],  # 13
+
+   [-1, 1, Conv, [256, 1, 1]],
+   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
+   [[-1, 4], 1, Concat, [1]],  # cat backbone P3
+   [-1, 3, C3, [256, False]],  # 17 (P3/8-small)
+
+   [-1, 1, Conv, [256, 3, 2]],
+   [[-1, 14], 1, Concat, [1]],  # cat head P4
+   [-1, 3, C3, [512, False]],  # 20 (P4/16-medium)
+
+   [-1, 1, Conv, [512, 3, 2]],
+   [[-1, 10], 1, Concat, [1]],  # cat head P5
+   [-1, 3, C3, [1024, False]],  # 23 (P5/32-large)
+
+   [[17, 20, 23], 1, Detect, [nc]],  # Detect(P3, P4, P5)
+  ]
\ No newline at end of file
diff --git a/ultralytics/yolo/v8/models/cls/yolov8l-cls.yaml b/ultralytics/models/v8/cls/yolov8l-cls.yaml
similarity index 100%
rename from ultralytics/yolo/v8/models/cls/yolov8l-cls.yaml
rename to ultralytics/models/v8/cls/yolov8l-cls.yaml
diff --git a/ultralytics/yolo/v8/models/cls/yolov8m-cls.yaml b/ultralytics/models/v8/cls/yolov8m-cls.yaml
similarity index 100%
rename from ultralytics/yolo/v8/models/cls/yolov8m-cls.yaml
rename to ultralytics/models/v8/cls/yolov8m-cls.yaml
diff --git a/ultralytics/yolo/v8/models/cls/yolov8n-cls.yaml b/ultralytics/models/v8/cls/yolov8n-cls.yaml
similarity index 100%
rename from ultralytics/yolo/v8/models/cls/yolov8n-cls.yaml
rename to ultralytics/models/v8/cls/yolov8n-cls.yaml
diff --git a/ultralytics/yolo/v8/models/cls/yolov8s-cls.yaml b/ultralytics/models/v8/cls/yolov8s-cls.yaml
similarity index 100%
rename from ultralytics/yolo/v8/models/cls/yolov8s-cls.yaml
rename to ultralytics/models/v8/cls/yolov8s-cls.yaml
diff --git a/ultralytics/yolo/v8/models/cls/yolov8x-cls.yaml b/ultralytics/models/v8/cls/yolov8x-cls.yaml
similarity index 100%
rename from ultralytics/yolo/v8/models/cls/yolov8x-cls.yaml
rename to ultralytics/models/v8/cls/yolov8x-cls.yaml
diff --git a/ultralytics/yolo/v8/models/seg/yolov8l-seg.yaml b/ultralytics/models/v8/seg/yolov8l-seg.yaml
similarity index 100%
rename from ultralytics/yolo/v8/models/seg/yolov8l-seg.yaml
rename to ultralytics/models/v8/seg/yolov8l-seg.yaml
diff --git a/ultralytics/yolo/v8/models/seg/yolov8m-seg.yaml b/ultralytics/models/v8/seg/yolov8m-seg.yaml
similarity index 100%
rename from ultralytics/yolo/v8/models/seg/yolov8m-seg.yaml
rename to ultralytics/models/v8/seg/yolov8m-seg.yaml
diff --git a/ultralytics/yolo/v8/models/seg/yolov8n-seg.yaml b/ultralytics/models/v8/seg/yolov8n-seg.yaml
similarity index 100%
rename from ultralytics/yolo/v8/models/seg/yolov8n-seg.yaml
rename to ultralytics/models/v8/seg/yolov8n-seg.yaml
diff --git a/ultralytics/yolo/v8/models/seg/yolov8s-seg.yaml b/ultralytics/models/v8/seg/yolov8s-seg.yaml
similarity index 100%
rename from ultralytics/yolo/v8/models/seg/yolov8s-seg.yaml
rename to ultralytics/models/v8/seg/yolov8s-seg.yaml
diff --git a/ultralytics/yolo/v8/models/seg/yolov8x-seg.yaml b/ultralytics/models/v8/seg/yolov8x-seg.yaml
similarity index 100%
rename from ultralytics/yolo/v8/models/seg/yolov8x-seg.yaml
rename to ultralytics/models/v8/seg/yolov8x-seg.yaml
diff --git a/ultralytics/yolo/v8/models/yolov8l.yaml b/ultralytics/models/v8/yolov8l.yaml
similarity index 100%
rename from ultralytics/yolo/v8/models/yolov8l.yaml
rename to ultralytics/models/v8/yolov8l.yaml
diff --git a/ultralytics/yolo/v8/models/yolov8m.yaml b/ultralytics/models/v8/yolov8m.yaml
similarity index 100%
rename from ultralytics/yolo/v8/models/yolov8m.yaml
rename to ultralytics/models/v8/yolov8m.yaml
diff --git a/ultralytics/yolo/v8/models/yolov8n.yaml b/ultralytics/models/v8/yolov8n.yaml
similarity index 100%
rename from ultralytics/yolo/v8/models/yolov8n.yaml
rename to ultralytics/models/v8/yolov8n.yaml
diff --git a/ultralytics/yolo/v8/models/yolov8s.yaml b/ultralytics/models/v8/yolov8s.yaml
similarity index 100%
rename from ultralytics/yolo/v8/models/yolov8s.yaml
rename to ultralytics/models/v8/yolov8s.yaml
diff --git a/ultralytics/yolo/v8/models/yolov8x.yaml b/ultralytics/models/v8/yolov8x.yaml
similarity index 100%
rename from ultralytics/yolo/v8/models/yolov8x.yaml
rename to ultralytics/models/v8/yolov8x.yaml
diff --git a/ultralytics/yolo/v8/models/yolov8x6.yaml b/ultralytics/models/v8/yolov8x6.yaml
similarity index 100%
rename from ultralytics/yolo/v8/models/yolov8x6.yaml
rename to ultralytics/models/v8/yolov8x6.yaml
diff --git a/ultralytics/yolo/engine/predictor.py b/ultralytics/yolo/engine/predictor.py
index 15e683c..15c2ff1 100644
--- a/ultralytics/yolo/engine/predictor.py
+++ b/ultralytics/yolo/engine/predictor.py
@@ -57,7 +57,7 @@ class BasePredictor:
         dataset (Dataset): Dataset used for prediction.
         vid_path (str): Path to video file.
         vid_writer (cv2.VideoWriter): Video writer for saving video output.
-        view_img (bool): Whether to view image output.
+        show (bool): Whether to view image output.
         annotator (Annotator): Annotator used for prediction.
         data_path (str): Path to data.
     """
@@ -88,7 +88,7 @@ class BasePredictor:
         self.device = None
         self.dataset = None
         self.vid_path, self.vid_writer = None, None
-        self.view_img = None
+        self.show = None
         self.annotator = None
         self.data_path = None
         self.callbacks = defaultdict(list, {k: [v] for k, v in callbacks.default_callbacks.items()})  # add callbacks
@@ -127,7 +127,7 @@ class BasePredictor:
         # Dataloader
         bs = 1  # batch_size
         if webcam:
-            self.view_img = check_imshow(warn=True)
+            self.show = check_imshow(warn=True)
             self.dataset = LoadStreams(source, imgsz=imgsz, stride=stride, auto=pt, vid_stride=self.args.vid_stride)
             bs = len(self.dataset)
         elif screenshot:
diff --git a/ultralytics/yolo/utils/checks.py b/ultralytics/yolo/utils/checks.py
index fc1da26..4c5ad23 100644
--- a/ultralytics/yolo/utils/checks.py
+++ b/ultralytics/yolo/utils/checks.py
@@ -217,8 +217,8 @@ def check_file(file, suffix=''):
         return file
     else:  # search
         files = []
-        for d in 'data', 'v8', 'utils':  # search directories
-            files.extend(glob.glob(str(ROOT / "yolo" / d / '**' / file), recursive=True))  # find file
+        for d in 'models', 'yolo/data':  # search directories
+            files.extend(glob.glob(str(ROOT / d / '**' / file), recursive=True))  # find file
         assert len(files), f'File not found: {file}'  # assert file was found
         assert len(files) == 1, f"Multiple files match '{file}', specify exact path: {files}"  # assert unique
         return files[0]  # return file