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defect-detection/README.dataset.txt

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+# defect-detection-yjplx-fxobh-amdi > 2025-03-13 9:51am
+https://universe.roboflow.com/rf-100-vl/defect-detection-yjplx-fxobh-amdi-0660v
+
+Provided by a Roboflow user
+License: MIT
+
+# Overview
+- [Introduction](#introduction)
+- [Object Classes](#object-classes)
+  - [Defective Fishplate](#defective-fishplate)
+  - [Fastener](#fastener)
+  - [Missing Fastener](#missing-fastener)
+  - [Non Defective Fishplate](#non-defective-fishplate)
+
+# Introduction
+The dataset is focused on detecting defects in railway infrastructure. It includes images for identifying and classifying rail components into four categories: Defective Fishplate, Fastener, Missing Fastener, and Non Defective Fishplate. Each class is detailed below, highlighting the distinctive elements to consider for accurate annotation.
+
+- **Defective Fishplate**: A flat piece of metal that joins two railway tracks that has visible damage or missing bolts.
+- **Fastener**: A clamp that secures the rail to the railroad ties.
+- **Missing Fastener**: A missing clamp that secures the rail to the railroad tie.
+- **Non-Defective Fishplate**: A flat piece of metal that joins two railway tracks that does not have visible damage.
+
+# Object Classes
+
+## Defective Fishplate
+### Description
+A fishplate is a flat piece of metal used to join two lengths of railway track. A defective fishplate often has visible damage, misalignment, or missing connectors.
+
+### Instructions
+- Annotate the fishplate that shows signs of damage or misalignment.
+- Include any visible deformations or cracks in your annotation.
+- Do not annotate if the fishplate appears intact and undamaged.
+
+## Fastener
+### Description
+Fasteners secure the rail to the railroad ties. They typically appear as small, noticeable clamps or clips attached directly to the rail.
+
+### Instructions
+- Annotate where the fasteners are present and properly securing the rail.
+- Ensure that the annotated area includes the entire fastener and its attachment to the rail.
+- Do not annotate areas where fasteners are missing or not visible.
+
+## Missing Fastener
+### Description
+This class describes the absence of fasteners where they should be present along the rail.
+
+### Instructions
+- Identify and annotate areas on the rail where fasteners are supposed to be but are missing.
+- Look for gaps between the rail and the ties where fasteners should be present.
+- Do not annotate if there is an existing fastener correctly placed.
+
+## Non Defective Fishplate
+### Description
+A non defective fishplate is a properly aligned and undamaged connector joining two rails.
+
+### Instructions
+- Annotate fishplates that are intact, with no signs of damage or displacement.
+- Ensure the annotation covers the entire fishplate, including bolts and connections.
+- Do not annotate if there are any visible defects or misalignments.

defect-detection/README.roboflow.txt

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+
+defect-detection-yjplx-fxobh-amdi - v1 2025-03-13 9:51am
+==============================
+
+This dataset was exported via roboflow.com on March 14, 2025 at 3:07 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 1876 images.
+Defect-detection-yjplx-fxobh-amdi-amdi are annotated in COCO format.
+
+The following pre-processing was applied to each image:
+
+No image augmentation techniques were applied.
+
+