Annotated spiral ganglion neuron training data for object detection

Tissue clearing and light-sheet fluorescence microscopy were applied for 3D profiling of intact cochleae. However, the spiral ganglion neurons (SGNs) remain relatively understudied compared to hair cells and supporting cells, especially in large animal models. Here we: 1) introduced collagenase treatment to the current protocol of tissue clearing to enhance uniform antibody staining of SGNs within the pig cochlea, and 2) adopted a deep learning object detection model to locate and count SGNs in large 3D datasets via Spiner (Spiral ganglion neuron profiler). This dataset contains the training, validation, and test data for the deep learning object detection model (RetinaNet) used in the Spiner workflow. Bounding boxes of SGNs are annotated in the dataset.