Add FleXray data release: 7 repackaged X-ray sources + MURA forearm/humerus annotations

ElbowLat/LICENSE

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+CC BY 4.0
+https://creativecommons.org/licenses/by/4.0/
+
+Derived from: https://universe.roboflow.com/ionspace/elbow_lat-lnn0s-pmycd
+Attribution: Roboflow Universe project `ionspace/elbow_lat-lnn0s-pmycd` (CC BY 4.0).

ElbowLat/README.md

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+# 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
+```