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Fluorescent Neuronal Cells v2 is a collection of fluorescence microscopyimages and the corresponding ground-truth annotations, designed to fosterinnovative research in the domains of Life Sciences and Deep Learning. Thisdataset encompasses three image collections in which rodent neuronal cells'nuclei and cytoplasm are stained with diverse markers to highlight theiranatomical or functional characteristics. Alongside the images, we provideground-truth annotations for several learning tasks, including semanticsegmentation, object detection, and counting. The contribution is two-fold.First, given the variety of annotations and their accessible formats, weenvision our work facilitating methodological advancements in computer visionapproaches for segmentation, detection, feature learning, unsupervised andself-supervised learning, transfer learning, and related areas. Second, byenabling extensive exploration and benchmarking, we hope Fluorescent NeuronalCells v2 will catalyze breakthroughs in fluorescence microscopy analysis andpromote cutting-edge discoveries in life sciences. The data are available at:https://amsacta.unibo.it/id/eprint/7347

Fluorescent Neuronal Cells v2: Multi-Task, Multi-Format Annotations for Deep Learning in Microscopy