diff --git a/docs/reference/nn/tasks.md b/docs/reference/nn/tasks.md
index bf1fa05..502b82d 100644
--- a/docs/reference/nn/tasks.md
+++ b/docs/reference/nn/tasks.md
@@ -27,6 +27,11 @@ description: Learn how to work with Ultralytics YOLO Detection, Segmentation & C
:::ultralytics.nn.tasks.ClassificationModel
+# RTDETRDetectionModel
+---
+:::ultralytics.nn.tasks.RTDETRDetectionModel
+
+
# Ensemble
---
:::ultralytics.nn.tasks.Ensemble
diff --git a/docs/reference/yolo/data/dataloaders/stream_loaders.md b/docs/reference/yolo/data/dataloaders/stream_loaders.md
index 50ed8aa..afecea7 100644
--- a/docs/reference/yolo/data/dataloaders/stream_loaders.md
+++ b/docs/reference/yolo/data/dataloaders/stream_loaders.md
@@ -36,3 +36,8 @@ description: 'Ultralytics YOLO Docs: Learn about stream loaders for image and te
---
:::ultralytics.yolo.data.dataloaders.stream_loaders.autocast_list
+
+# get_best_youtube_url
+---
+:::ultralytics.yolo.data.dataloaders.stream_loaders.get_best_youtube_url
+
diff --git a/docs/reference/yolo/utils/loss.md b/docs/reference/yolo/utils/loss.md
index 10e23c5..b01e3ef 100644
--- a/docs/reference/yolo/utils/loss.md
+++ b/docs/reference/yolo/utils/loss.md
@@ -16,3 +16,23 @@ description: Learn about Varifocal Loss and Keypoint Loss in Ultralytics YOLO fo
---
:::ultralytics.yolo.utils.loss.KeypointLoss
+
+# v8DetectionLoss
+---
+:::ultralytics.yolo.utils.loss.v8DetectionLoss
+
+
+# v8SegmentationLoss
+---
+:::ultralytics.yolo.utils.loss.v8SegmentationLoss
+
+
+# v8PoseLoss
+---
+:::ultralytics.yolo.utils.loss.v8PoseLoss
+
+
+# v8ClassificationLoss
+---
+:::ultralytics.yolo.utils.loss.v8ClassificationLoss
+
diff --git a/docs/reference/yolo/v8/detect/train.md b/docs/reference/yolo/v8/detect/train.md
index 03da3ae..84e4794 100644
--- a/docs/reference/yolo/v8/detect/train.md
+++ b/docs/reference/yolo/v8/detect/train.md
@@ -7,11 +7,6 @@ description: Train and optimize custom object detection models with Ultralytics
:::ultralytics.yolo.v8.detect.train.DetectionTrainer
-# Loss
----
-:::ultralytics.yolo.v8.detect.train.Loss
-
-
# train
---
:::ultralytics.yolo.v8.detect.train.train
diff --git a/docs/reference/yolo/v8/pose/train.md b/docs/reference/yolo/v8/pose/train.md
index 61cce26..7d3f586 100644
--- a/docs/reference/yolo/v8/pose/train.md
+++ b/docs/reference/yolo/v8/pose/train.md
@@ -7,11 +7,6 @@ description: Boost posture detection using PoseTrainer and train models using tr
:::ultralytics.yolo.v8.pose.train.PoseTrainer
-# PoseLoss
----
-:::ultralytics.yolo.v8.pose.train.PoseLoss
-
-
# train
---
:::ultralytics.yolo.v8.pose.train.train
diff --git a/docs/reference/yolo/v8/segment/train.md b/docs/reference/yolo/v8/segment/train.md
index 746312d..ee25fe2 100644
--- a/docs/reference/yolo/v8/segment/train.md
+++ b/docs/reference/yolo/v8/segment/train.md
@@ -7,11 +7,6 @@ description: Learn about SegmentationTrainer and Train in Ultralytics YOLO v8 fo
:::ultralytics.yolo.v8.segment.train.SegmentationTrainer
-# SegLoss
----
-:::ultralytics.yolo.v8.segment.train.SegLoss
-
-
# train
---
:::ultralytics.yolo.v8.segment.train.train
diff --git a/ultralytics/__init__.py b/ultralytics/__init__.py
index ebca26d..22911e1 100644
--- a/ultralytics/__init__.py
+++ b/ultralytics/__init__.py
@@ -1,6 +1,6 @@
# Ultralytics YOLO 🚀, AGPL-3.0 license
-__version__ = '8.0.110'
+__version__ = '8.0.111'
from ultralytics.hub import start
from ultralytics.vit.rtdetr import RTDETR
diff --git a/ultralytics/nn/modules/__init__.py b/ultralytics/nn/modules/__init__.py
index 8746303..b6dc6c4 100644
--- a/ultralytics/nn/modules/__init__.py
+++ b/ultralytics/nn/modules/__init__.py
@@ -21,10 +21,9 @@ from .head import Classify, Detect, Pose, RTDETRDecoder, Segment
from .transformer import (AIFI, MLP, DeformableTransformerDecoder, DeformableTransformerDecoderLayer, LayerNorm2d,
MLPBlock, MSDeformAttn, TransformerBlock, TransformerEncoderLayer, TransformerLayer)
-__all__ = [
- 'Conv', 'Conv2', 'LightConv', 'RepConv', 'DWConv', 'DWConvTranspose2d', 'ConvTranspose', 'Focus', 'GhostConv',
- 'ChannelAttention', 'SpatialAttention', 'CBAM', 'Concat', 'TransformerLayer', 'TransformerBlock', 'MLPBlock',
- 'LayerNorm2d', 'DFL', 'HGBlock', 'HGStem', 'SPP', 'SPPF', 'C1', 'C2', 'C3', 'C2f', 'C3x', 'C3TR', 'C3Ghost',
- 'GhostBottleneck', 'Bottleneck', 'BottleneckCSP', 'Proto', 'Detect', 'Segment', 'Pose', 'Classify',
- 'TransformerEncoderLayer', 'RepC3', 'RTDETRDecoder', 'AIFI', 'DeformableTransformerDecoder',
- 'DeformableTransformerDecoderLayer', 'MSDeformAttn', 'MLP']
+__all__ = ('Conv', 'Conv2', 'LightConv', 'RepConv', 'DWConv', 'DWConvTranspose2d', 'ConvTranspose', 'Focus',
+ 'GhostConv', 'ChannelAttention', 'SpatialAttention', 'CBAM', 'Concat', 'TransformerLayer',
+ 'TransformerBlock', 'MLPBlock', 'LayerNorm2d', 'DFL', 'HGBlock', 'HGStem', 'SPP', 'SPPF', 'C1', 'C2', 'C3',
+ 'C2f', 'C3x', 'C3TR', 'C3Ghost', 'GhostBottleneck', 'Bottleneck', 'BottleneckCSP', 'Proto', 'Detect',
+ 'Segment', 'Pose', 'Classify', 'TransformerEncoderLayer', 'RepC3', 'RTDETRDecoder', 'AIFI',
+ 'DeformableTransformerDecoder', 'DeformableTransformerDecoderLayer', 'MSDeformAttn', 'MLP')
diff --git a/ultralytics/nn/modules/block.py b/ultralytics/nn/modules/block.py
index ff76db3..508ddb3 100644
--- a/ultralytics/nn/modules/block.py
+++ b/ultralytics/nn/modules/block.py
@@ -10,9 +10,8 @@ import torch.nn.functional as F
from .conv import Conv, DWConv, GhostConv, LightConv, RepConv
from .transformer import TransformerBlock
-__all__ = [
- 'DFL', 'HGBlock', 'HGStem', 'SPP', 'SPPF', 'C1', 'C2', 'C3', 'C2f', 'C3x', 'C3TR', 'C3Ghost', 'GhostBottleneck',
- 'Bottleneck', 'BottleneckCSP', 'Proto', 'RepC3']
+__all__ = ('DFL', 'HGBlock', 'HGStem', 'SPP', 'SPPF', 'C1', 'C2', 'C3', 'C2f', 'C3x', 'C3TR', 'C3Ghost',
+ 'GhostBottleneck', 'Bottleneck', 'BottleneckCSP', 'Proto', 'RepC3')
class DFL(nn.Module):
diff --git a/ultralytics/nn/modules/conv.py b/ultralytics/nn/modules/conv.py
index 13e970f..38ee3f5 100644
--- a/ultralytics/nn/modules/conv.py
+++ b/ultralytics/nn/modules/conv.py
@@ -9,9 +9,8 @@ import numpy as np
import torch
import torch.nn as nn
-__all__ = [
- 'Conv', 'LightConv', 'DWConv', 'DWConvTranspose2d', 'ConvTranspose', 'Focus', 'GhostConv', 'ChannelAttention',
- 'SpatialAttention', 'CBAM', 'Concat', 'RepConv']
+__all__ = ('Conv', 'LightConv', 'DWConv', 'DWConvTranspose2d', 'ConvTranspose', 'Focus', 'GhostConv',
+ 'ChannelAttention', 'SpatialAttention', 'CBAM', 'Concat', 'RepConv')
def autopad(k, p=None, d=1): # kernel, padding, dilation
diff --git a/ultralytics/nn/modules/head.py b/ultralytics/nn/modules/head.py
index f9145f0..f7105bf 100644
--- a/ultralytics/nn/modules/head.py
+++ b/ultralytics/nn/modules/head.py
@@ -16,7 +16,7 @@ from .conv import Conv
from .transformer import MLP, DeformableTransformerDecoder, DeformableTransformerDecoderLayer
from .utils import bias_init_with_prob, linear_init_
-__all__ = ['Detect', 'Segment', 'Pose', 'Classify', 'RTDETRDecoder']
+__all__ = 'Detect', 'Segment', 'Pose', 'Classify', 'RTDETRDecoder'
class Detect(nn.Module):
diff --git a/ultralytics/nn/modules/transformer.py b/ultralytics/nn/modules/transformer.py
index 4ae946a..4745905 100644
--- a/ultralytics/nn/modules/transformer.py
+++ b/ultralytics/nn/modules/transformer.py
@@ -13,9 +13,8 @@ from torch.nn.init import constant_, xavier_uniform_
from .conv import Conv
from .utils import _get_clones, inverse_sigmoid, multi_scale_deformable_attn_pytorch
-__all__ = [
- 'TransformerEncoderLayer', 'TransformerLayer', 'TransformerBlock', 'MLPBlock', 'LayerNorm2d', 'AIFI',
- 'DeformableTransformerDecoder', 'DeformableTransformerDecoderLayer', 'MSDeformAttn', 'MLP']
+__all__ = ('TransformerEncoderLayer', 'TransformerLayer', 'TransformerBlock', 'MLPBlock', 'LayerNorm2d', 'AIFI',
+ 'DeformableTransformerDecoder', 'DeformableTransformerDecoderLayer', 'MSDeformAttn', 'MLP')
class TransformerEncoderLayer(nn.Module):
diff --git a/ultralytics/nn/modules/utils.py b/ultralytics/nn/modules/utils.py
index 35cf30c..f8636dc 100644
--- a/ultralytics/nn/modules/utils.py
+++ b/ultralytics/nn/modules/utils.py
@@ -12,7 +12,7 @@ import torch.nn as nn
import torch.nn.functional as F
from torch.nn.init import uniform_
-__all__ = ['multi_scale_deformable_attn_pytorch', 'inverse_sigmoid']
+__all__ = 'multi_scale_deformable_attn_pytorch', 'inverse_sigmoid'
def _get_clones(module, n):
diff --git a/ultralytics/vit/rtdetr/val.py b/ultralytics/vit/rtdetr/val.py
index 41d4000..e1619a6 100644
--- a/ultralytics/vit/rtdetr/val.py
+++ b/ultralytics/vit/rtdetr/val.py
@@ -9,7 +9,7 @@ from ultralytics.yolo.data.augment import Compose, Format, LetterBox
from ultralytics.yolo.utils import colorstr, ops
from ultralytics.yolo.v8.detect import DetectionValidator
-__all__ = ['RTDETRValidator']
+__all__ = 'RTDETRValidator', # tuple or list
# TODO: Temporarily, RT-DETR does not need padding.