Datasets:
Add FleXray data release: 7 repackaged X-ray sources + MURA forearm/humerus annotations
3f8be54 verified | # ElbowLat (lateral elbow radiographs) | |
| Part of the FleXray data release. Repackaged from the original distribution at | |
| https://universe.roboflow.com/ionspace/elbow_lat-lnn0s-pmycd under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). | |
| **Citation:** Roboflow Universe project `ionspace/elbow_lat-lnn0s-pmycd` (CC BY 4.0). | |
| ## Contents | |
| - 601 samples (test: 91, train: 419, val: 91); one image and one label per sample. | |
| - `images/*.png`: 16-bit grayscale PNG, intensities in [0, 65535] map linearly to [0, 1]. | |
| - `labels/`: binary channel masks (NPY, C x H x W). Label ids/channels: | |
| - channel `0`: background | |
| - channel `1`: humeri | |
| - channel `2`: radii | |
| - channel `3`: ulnae | |
| - `dataset.yml`: `fxr-dataset` manifest (schema version 1). Splits are the | |
| ones used in the FleXray paper; `metadata.original_shape` is the source image shape. | |
| ## Preprocessing | |
| Every image was min-max normalized to [0, 1] per image, padded to a square with zeros | |
| (centered) and resized to 256 x 256 (area interpolation for images, nearest for labels). Labels were remapped from the | |
| source annotation to the dataset-native names listed above; the FleXray package maps | |
| those names into its label protocol at training time. | |
| ## Usage | |
| ```bash | |
| pip install flexray | |
| fxr-dataset validate dataset.yml | |
| fxr-dataset pack dataset.yml /data/flexray/ElbowLat | |
| ``` | |