region:us
Training image sets and labels/bounding box coordinates for detecting brain
tumors in MR images.
- The datasets JPGs exported at their native size and are separated by plan
(Axial, Coronal and Sagittal).
- Tumors were hand labeled using https://makesense.ai
- Bounding box coordinates and MGMT positive labels were marked on ~400 images
for each plane in the T1wCE series from the RSNA-MICCAI competition data.
---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: image_id
    dtype: int64
  - name: objects
    sequence:
    - name: id
      dtype: int64
    - name: area
      dtype: float64
    - name: bbox
      sequence: float32
      length: 4
    - name: label
      dtype:
        class_label:
          names:
            '0': negative
            '1': positive
    - name: iscrowd
      dtype: bool
  splits:
  - name: train
    num_bytes: 11482275
    num_examples: 893
  - name: test
    num_bytes: 2794404
    num_examples: 223
  download_size: 12628405
  dataset_size: 14276679
---

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