yolo/datasets/detect/brain-tumor/ #22913
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Can your dataset ensure that the data are independently and identically distributed by patient? That is, there will be no data from the same patient in both the training set and the validation set. |
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👋 Hello, thank you for starting this discussion about brain tumor detection datasets with YOLO 🚀! This is an automated Ultralytics assistant response 🤖 — an Ultralytics engineer will also review your discussion and assist you soon. We recommend a visit to the 8000 Docs where you can find many Python and CLI usage examples and where many of the most common questions about training custom medical or MRI/CT datasets may already be answered. If this is a 🐛 Bug Report related to using this brain tumor dataset or its integration with YOLO, please provide a minimum reproducible example to help us debug it efficiently. If this is a custom training ❓ Question (for example, about how to structure the brain tumor dataset, annotations, or best practices for medical imaging), please provide as much information as possible, including: Join the Ultralytics community where it suits you best: UpgradeBefore proceeding, please upgrade to the latest pip install -U ultralyticsEnvironmentsYOLO may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
These environments are ideal for experimenting with specialized datasets like MRI/CT brain tumor images 🧠. Status
If this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLO Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit. |
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yolo/datasets/detect/brain-tumor/
探索包含MRI/CT图像的脑肿瘤检测数据集。对于训练用于早期诊断和治疗计划的AI模型至关重要。
https://www.aidoczh.com/yolo/datasets/detect/brain-tumor/
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