license:mit size_categories:n<1K format:csv modality:image modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us infinite-dataset-hub synthetic
---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# RadiologyImageAnomalies

tags: Classification, Anomaly Detection, Imaging

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:**

The 'RadiologyImageAnomalies' dataset is designed for the purpose of anomaly detection in radiology images. The dataset contains a collection of images sourced from radiology studies, where each image is accompanied by annotations that indicate whether an anomaly is present. The labels are binary (0 or 1), with 0 indicating a normal finding and 1 indicating the presence of an anomaly, such as a fracture, tumor, or other abnormalities. This dataset can be used for training machine learning models to automatically detect anomalies in radiology images, which can aid radiologists in early detection and diagnosis.

**CSV Content Preview:**

```
ImageID,ImageURL,Label
RAD12345,http://example.com/images/radiology/RAD12345.jpg,1
RAD12346,http://example.com/images/radiology/RAD12346.jpg,0
RAD12347,http://example.com/images/radiology/RAD12347.jpg,1
RAD12348,http://example.com/images/radiology/RAD12348.jpg,0
RAD12349,http://example.com/images/radiology/RAD12349.jpg,1
```

**Source of the data:**

The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'Radiology':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=Radiology&dataset=RadiologyImageAnomalies&tags=Classification,+Anomaly+Detection,+Imaging
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
