Ultralytics brain tumor detection dataset contains medical images from MRI or CT scans. The dataset, created by ICPCartem and updated in December 2025, provides annotations for tumor presence, location, and characteristics to train computer vision algorithms.
Use Cases
- Train computer vision models on MRI or CT scan images to detect brain tumor presence.
- Develop segmentation algorithms using location and characteristics annotations to identify tumor boundaries.
- Build classification systems to distinguish between different brain tumor types based on image characteristics.
Strengths
- Dataset is updated as of December 2025, indicating recent maintenance.
- Annotations include specific features like tumor presence, location, and characteristics.
- Source images are from medical-grade MRI or CT scans.
Limitations
- Unknown sample size prevents assessment of dataset scale for model training.
- Lack of column and format details complicates technical integration.
- Potential class imbalance is unverified without access to label distributions.
Provenance
- Source
- ICPCartem via Hugging Face.
- Collection Method
- Medical images collected from MRI or CT scans.
- Time Range
- null
- Freshness
- Last updated on 2025-12-17.
- Geography
- null