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liver-disease/README.dataset.txt

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+# liver-disease-jyvvu-fash > 2025-03-13 9:26pm
+https://universe.roboflow.com/rf-100-vl/liver-disease-jyvvu-fash
+
+Provided by a Roboflow user
+License: MIT
+
+# Overview
+
+- [Introduction](#introduction)
+- [Object Classes](#object-classes)
+  - [Ballooning](#ballooning)
+  - [Fibrosis](#fibrosis)
+  - [Inflammation](#inflammation)
+  - [Steatosis](#steatosis)
+
+# Introduction
+
+This dataset focuses on identifying pathological features in liver tissue samples related to liver disease. The objective is to annotate images with specific liver disease conditions: ballooning, fibrosis, inflammation, and steatosis. Each class represents a distinct morphological change within the tissue that is important for diagnosing and understanding liver disease progression.
+- **Ballooning**: Liver cells are enlarged and swolen.
+- **Fibrosis**: Liver damage due to scar tissue in the liver
+- **Inflammation**: A cluster of darker, denser cells.
+- **Steatosis**: Liver damage due to a buildup of fat. 
+
+# Object Classes
+
+## Ballooning
+### Description
+Ballooning refers to enlarged liver cells, often appearing as large, round, clear spaces within the tissue. These spaces usually have a well-defined perimeter and a relatively homogeneous texture inside.
+### Instructions
+- Annotate regions that exhibit large, round, clear spaces with distinct boundaries. 
+- Do not include irregular shapes or areas that do not have clear perimeters. Focus only on the well-defined circular regions.
+
+## Fibrosis
+### Description
+Fibrosis is characterized by a dense, web-like pattern of tissue, often in thread-like strands. These strands are usually depicted as elongated, interwoven structures in the tissue. These tissues are often a darker shade of blue compared to surrounding tissue. 
+### Instructions
+- Outline the web-like, elongated strands within the tissue. 
+- Avoid labeling isolated or fragmented areas that do not contribute to the fibrous network. Focus on continuous or interconnected strands.
+
+## Inflammation
+### Description
+Inflammation is depicted by clusters of darker, denser cellular areas. These clusters often appear as small, dense aggregations and may be irregular in shape.
+### Instructions
+- Identify small, dense clusters that appear darker compared to surrounding tissue. 
+- Do not annotate dispersed cells that do not form a compact group. Select regions where cellular density is markedly higher.
+
+## Steatosis
+### Description
+Steatosis is indicated by large droplets of fat within the liver cells, often seen as large round areas with distinct borders that are lighter in appearance.
+### Instructions
+- Mark large, filled round areas with distinct edges, focusing on rounded, light regions. 
+- Avoid marking smaller or misshapen areas that do not clearly represent fat droplets. Prioritize obvious, sizeable droplets.

liver-disease/README.roboflow.txt

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+
+liver-disease-jyvvu-fash - v2 2025-03-13 9:26pm
+==============================
+
+This dataset was exported via roboflow.com on March 14, 2025 at 4:13 AM GMT
+
+Roboflow is an end-to-end computer vision platform that helps you
+* collaborate with your team on computer vision projects
+* collect & organize images
+* understand and search unstructured image data
+* annotate, and create datasets
+* export, train, and deploy computer vision models
+* use active learning to improve your dataset over time
+
+For state of the art Computer Vision training notebooks you can use with this dataset,
+visit https://github.com/roboflow/notebooks
+
+To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
+
+The dataset includes 3964 images.
+Liver-disease-jyvvu-fash are annotated in COCO format.
+
+The following pre-processing was applied to each image:
+* Auto-orientation of pixel data (with EXIF-orientation stripping)
+
+No image augmentation techniques were applied.
+
+