LowerLimbs/README.md

LowerLimbs (lower-limb radiographs)

Part of the FleXray data release. Repackaged from the original distribution at https://universe.roboflow.com/orthopedicstitching/bone-identifier-1rey5 under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).

Citation: Roboflow Universe project orthopedicstitching/bone-identifier-1rey5 (CC BY 4.0).

Contents

• 56 samples (test: 8, train: 39, val: 9); 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: todo_drop_native_1
• channel 2: todo_drop_native_2
• channel 3: femurs
• channel 4: todo_drop_native_4
• channel 5: fibulae
• channel 6: tibiae
• channel 7: todo_drop_native_7
• 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

pip install flexray
fxr-dataset validate dataset.yml
fxr-dataset pack dataset.yml /data/flexray/LowerLimbs