HandBones/README.md

HandBones (hand radiographs with per-bone masks)

Part of the FleXray data release. Repackaged from the original distribution at https://universe.roboflow.com/boneage-x90qt/-hand-bones-mdjkr under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).

Citation: Roboflow Universe project boneage-x90qt/-hand-bones-mdjkr (uploader-declared CC BY 4.0).

Contents

• 93 samples (test: 13, train: 65, val: 15); 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: carpals
• channel 2: phalange_distal
• channel 3: phalange_intermediate
• channel 4: metacarpals
• channel 5: phalange_proximal
• channel 6: radii
• channel 7: 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

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