diff --git a/poetry.lock b/poetry.lock
index 5fdbeba02..b0d4112ee 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,14 +1,14 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
 
 [[package]]
 name = "albucore"
-version = "0.0.20"
+version = "0.0.23"
 description = "High-performance image processing functions for deep learning and computer vision."
 optional = true
 python-versions = ">=3.9"
 files = [
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+    {file = "albucore-0.0.23-py3-none-any.whl", hash = "sha256:99274ac0c15a1a7d9a726df9d54d5ab70d9d0c189e2a935399dba3d4bafad415"},
+    {file = "albucore-0.0.23.tar.gz", hash = "sha256:57823982b954913b84a9e2cf71058c4577b02397a62c41885be2d9b295efa8ab"},
 ]
 
 [package.dependencies]
@@ -20,27 +20,28 @@ typing-extensions = {version = ">=4.9.0", markers = "python_version < \"3.10\""}
 
 [[package]]
 name = "albumentations"
-version = "1.4.21"
-description = "Fast, flexible, and advanced image augmentation library for deep learning and computer vision. Albumentations offers a wide range of transformations for images, masks, bounding boxes, and keypoints, with optimized performance and seamless integration into ML workflows."
+version = "1.4.24"
+description = "Fast, flexible, and advanced augmentation library for deep learning, computer vision, and medical imaging. Albumentations offers a wide range of transformations for both 2D (images, masks, bboxes, keypoints) and 3D (volumes, volumetric masks) data, with optimized performance and seamless integration into ML workflows."
 optional = true
 python-versions = ">=3.9"
 files = [
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+    {file = "albumentations-1.4.24-py3-none-any.whl", hash = "sha256:2f639257a11e681071f4f7d10f6a6d874ae705bcce52746874cd8d7e317a16d7"},
+    {file = "albumentations-1.4.24.tar.gz", hash = "sha256:cc8874cb0abccc9117aefacbe385c354ac824fa142f46a6c0896d65cec5f8a6d"},
 ]
 
 [package.dependencies]
-albucore = "0.0.20"
-eval-type-backport = "*"
+albucore = "0.0.23"
+eval-type-backport = {version = "*", markers = "python_version < \"3.10\""}
 numpy = ">=1.24.4"
 opencv-python-headless = ">=4.9.0.80"
-pydantic = ">=2.7.0"
+pydantic = ">=2.9.2"
 PyYAML = "*"
 scipy = ">=1.10.0"
 typing-extensions = {version = ">=4.9.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
 hub = ["huggingface-hub"]
+pytorch = ["torch"]
 text = ["pillow"]
 
 [[package]]
@@ -286,53 +287,53 @@ files = [
 
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 python-versions = "<4.0,>=3.8"
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 [[package]]
@@ -1438,19 +1462,19 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "pydantic"
-version = "2.9.2"
+version = "2.10.4"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
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+    {file = "scikit_learn-1.6.0.tar.gz", hash = "sha256:9d58481f9f7499dff4196927aedd4285a0baec8caa3790efbe205f13de37dd6e"},
 ]
 
 [package.dependencies]
@@ -1955,11 +1994,11 @@ threadpoolctl = ">=3.1.0"
 [package.extras]
 benchmark = ["matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "pandas (>=1.1.5)"]
 build = ["cython (>=3.0.10)", "meson-python (>=0.16.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)"]
-docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pydata-sphinx-theme (>=0.15.3)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)", "sphinx (>=7.3.7)", "sphinx-copybutton (>=0.5.2)", "sphinx-design (>=0.5.0)", "sphinx-design (>=0.6.0)", "sphinx-gallery (>=0.16.0)", "sphinx-prompt (>=1.4.0)", "sphinx-remove-toctrees (>=1.0.0.post1)", "sphinxcontrib-sass (>=0.3.4)", "sphinxext-opengraph (>=0.9.1)"]
+docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.3.4)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pydata-sphinx-theme (>=0.15.3)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)", "sphinx (>=7.3.7)", "sphinx-copybutton (>=0.5.2)", "sphinx-design (>=0.5.0)", "sphinx-design (>=0.6.0)", "sphinx-gallery (>=0.17.1)", "sphinx-prompt (>=1.4.0)", "sphinx-remove-toctrees (>=1.0.0.post1)", "sphinxcontrib-sass (>=0.3.4)", "sphinxext-opengraph (>=0.9.1)", "towncrier (>=24.8.0)"]
 examples = ["matplotlib (>=3.3.4)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)"]
 install = ["joblib (>=1.2.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)", "threadpoolctl (>=3.1.0)"]
 maintenance = ["conda-lock (==2.5.6)"]
-tests = ["black (>=24.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.9)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.2.1)", "scikit-image (>=0.17.2)"]
+tests = ["black (>=24.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.9)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.5.1)", "scikit-image (>=0.17.2)"]
 
 [[package]]
 name = "scipy"
@@ -2440,20 +2479,20 @@ scipy = ["scipy"]
 
 [[package]]
 name = "tqdm"
-version = "4.67.0"
+version = "4.67.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.67.0-py3-none-any.whl", hash = "sha256:0cd8af9d56911acab92182e88d763100d4788bdf421d251616040cc4d44863be"},
-    {file = "tqdm-4.67.0.tar.gz", hash = "sha256:fe5a6f95e6fe0b9755e9469b77b9c3cf850048224ecaa8293d7d2d31f97d869a"},
+    {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
+    {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
 ]
 
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
-dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
+dev = ["nbval", "pytest (>=6)", "pytest-asyncio (>=0.24)", "pytest-cov", "pytest-timeout"]
 discord = ["requests"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
@@ -2483,13 +2522,13 @@ tutorials = ["matplotlib", "pandas", "tabulate"]
 
 [[package]]
 name = "types-pyyaml"
-version = "6.0.12.20240917"
+version = "6.0.12.20241230"
 description = "Typing stubs for PyYAML"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types-PyYAML-6.0.12.20240917.tar.gz", hash = "sha256:d1405a86f9576682234ef83bcb4e6fff7c9305c8b1fbad5e0bcd4f7dbdc9c587"},
-    {file = "types_PyYAML-6.0.12.20240917-py3-none-any.whl", hash = "sha256:392b267f1c0fe6022952462bf5d6523f31e37f6cea49b14cee7ad634b6301570"},
+    {file = "types_PyYAML-6.0.12.20241230-py3-none-any.whl", hash = "sha256:fa4d32565219b68e6dee5f67534c722e53c00d1cfc09c435ef04d7353e1e96e6"},
+    {file = "types_pyyaml-6.0.12.20241230.tar.gz", hash = "sha256:7f07622dbd34bb9c8b264fe860a17e0efcad00d50b5f27e93984909d9363498c"},
 ]
 
 [[package]]
@@ -2638,4 +2677,4 @@ test = ["pytest", "responses"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.13"
-content-hash = "7be8eee49f8527e023f0e8583a363cbf00e6258d92050ef273aa11237a27b82d"
+content-hash = "3984dbf25b98ee0421b18309148ca92c80761c16739e0c128dc0655aeb2b8564"
diff --git a/pyproject.toml b/pyproject.toml
index f62a76597..bb98ffa81 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -171,7 +171,7 @@ version = "^12.0"
 
 [tool.poetry.dependencies.ruff]
 optional = true
-version = ">=0.4.7,<0.8.0"
+version = ">=0.4.7,<0.9.0"
 
 [tool.poetry.dependencies.validate-pyproject]
 optional = true