Dataset Hub

CIFAR‑100‑LT is an imbalanced dataset containing fewer than 60,000 32×32 colour images across 100 classes. The number of samples per class follows an exponential decay, with a factor of 10 and 100. The dataset includes 10,000 test images (100 per class) and fewer than 50,000 training images. The 100 classes are further grouped into 20 super‑classes. Each image has two labels: a fine label for the specific class and a coarse label for the related super‑class.

The dataset contains MRI images of lumbar vertebrae and intervertebral discs, focusing on the vertebrae and discs. Scans are accompanied by medical reports that aid in diagnosing spinal diseases such as degenerative spinal disease, lumbar degenerative disease, and disc herniation. The dataset emphasizes MRI of the lumbar spine and spinal canal using sagittal T2‑weighted images.