metadata
dataset_info:
features:
- name: image
dtype: image
- name: mask
dtype: image
- name: label
dtype: image
splits:
- name: train
num_bytes: 1269680775.5
num_examples: 3025
- name: test
num_bytes: 229042164
num_examples: 553
download_size: 1464680989
dataset_size: 1498722939.5
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
ChestX-Det is a chest X-Ray dataset with instance-level annotations (boxes and masks). ChestX-Det is a subset of the public dataset NIH ChestX-ray14. It contains ~3500 images of 13 common disease categories labeled by three board-certified radiologists.
I created segmentation masks for each image in the dataset. Each image is mapped to a unique RGB value.
The repository from Deepwise AILab can be found at: https://github.com/Deepwise-AILab/ChestX-Det-Dataset.
More information at: https://paperswithcode.com/dataset/chestx-det.