FluoEcoli-Instance: high-content fluorescence microscopy of Escherichia coli for instance segmentation. 24,702 image patches (256x256 px, single-channel 16-bit grayscale TIFF) with 199,419 expert-annotated cell instances as polygon annotations, one class (cell): the complete release, train 14,820 images (119,976 cells), val 4,941 images (39,971 cells) and test 4,941 images (39,472 cells). License: CC BY 4.0. Source: https://zenodo.org/records/23389427 (DOI 10.5281/zenodo.23389427). Please cite: Huynh, S. T. et al. FluoEcoli-Instance: a high-content fluorescence microscopy dataset and CBAM-enhanced hybrid task cascade for E. coli instance segmentation. IEEE Journal of Selected Topics in Signal Processing 19(8), 1967-1982 (2025). DOI: 10.1109/JSTSP.2025.3648286.

Deep-Fish-Bone: brightfield microscopy of zebrafish larvae (ventral view) with pixel-level annotations of 25 developing craniovertebral skeletal structures. 190 annotation records from 34 fish (WT, HET and HOM genotypes), 2576x1932 PNG images, with 4,395 skeletal polygon annotations plus 190 supporting full-body outlines, converted from the official per-structure binary masks. Genotype, fish id and the authors' grouped CV fold are kept as file metadata. License: CC BY 4.0. Source: https://zenodo.org/records/23125004. Please cite: Kumar, N., Raman, R., Muller, M., Maree, R., & Geurts, P. (2026). Deep-Fish-Bone: Brightfield Microscopy Dataset for Multi-Label Segmentation of Craniovertebral Skeletal Structures in Zebrafish Larvae (Version V1.0) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.23125004

Myelinated nerve fibre segmentation from the AxonPath datasets: 47 electron microscopy (TEM/STEM) and brightfield images of mouse and rat CNS and PNS tissue in 7 sub-datasets, with 9,899 annotated fibres. Hosted copy: 77 files (27 large images split into strips) and 25,765 polygon annotations (Fibre, InnerCylinder, Axon, Nerve, ROI) imported from the authors' QuPath GeoJSON. License: CC BY 4.0 for all 7 sub-datasets (record, README and SOURCES.csv; the 8 AimSeg corpus callosum images are CC BY 4.0 too). Source: https://zenodo.org/records/23084690. Please cite: Carrillo-Barberà, P., Poveda Sabuco, A., Sgattoni, C., Gomez-Sanchez, J. A., Rondelli, A. M., & Williams, A. (2026). AxonPath datasets: annotated electron microscopy and brightfield images of myelinated nerve fibres (v1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.23084690

Nuclei instance segmentation dataset for H&E-stained histology (NuInsSeg, Mahbod et al. 2024, Medical University of Vienna). 665 image patches of 512x512 pixels at 40x magnification from 31 human and mouse organs, with 30,698 manually outlined nuclei as polygon annotations converted from the official labeled masks, plus the dataset's ambiguous-area masks as a separate class. License: CC BY 4.0. Source: https://zenodo.org/records/10518968. Please cite: Mahbod, A. et al. NuInsSeg: A fully annotated dataset for nuclei instance segmentation in H&E-stained histological images. Scientific Data 11, 295 (2024).

Sperm Chromatin Dispersion (SCD) assay bright-field microscopy images with polygon instance segmentation of sperm cells, classified as Fragmented or Non-fragmented (DNA fragmentation; original Spanish labels "Fragmentado" and "No fragmentado"/"No Fragmentado"). PARTIAL COPY: the published Zenodo archive contains only 1,102 of the record's 2,000 images; slides L01 to L17 and L32 (plus 36 images of L18 and 2 of L19), 898 train images in all, are missing from it. This copy holds 1,098 images (1,920x1,080 PNG; train 710, val 200, test 188, after removing 4 byte-identical duplicates) with 2,014 polygons (701 Fragmented, 1,313 Non-fragmented), and will be completed if the authors re-upload the missing images. License: CC BY 4.0. Source: https://zenodo.org/records/21628868. Please cite: Ornelas Nande, E. J., Adel Domínguez, M. A., Mora Topete, A., Magdaleno Márquez, L. E., Aranguren, I., Valdivia-G, A., & Sanchez, O. D. (2026). Sperm chromatin dispersion microscopy image dataset for instance segmentation [Data set]. Zenodo. https://doi.org/10.5281/zenodo.21628868

Simpel dataset for instance segmentation containing 2 classes

C. elegans live/dead assay from an anti-infective screen (BBBC010v1, Broad Bioimage Benchmark Collection). 100 wells of a 384-well control plate, each imaged in brightfield and GFP (200 images, 696x520, 16-bit TIFF), with 1,407 hand-corrected per-worm masks converted to polygon annotations for overlapping-worm instance segmentation; each worm polygon is placed on both channel images of its well, giving 2,814 polygons. Columns 1-12 are ampicillin-treated positive controls (mostly live worms) and columns 13-24 untreated negative controls (mostly dead), carried as two classes. License: CC0 1.0 (public domain). Source: https://bbbc.broadinstitute.org/BBBC010. Please cite: C. elegans infection live/dead image set version 1 provided by Fred Ausubel, available from the Broad Bioimage Benchmark Collection [Ljosa et al., Nature Methods, 2012]; and Wahlby et al., An image analysis toolbox for high-throughput C. elegans assays, Nature Methods 9, 714-716 (2012).

Two-channel cell segmentation dataset of Drosophila melanogaster Kc167 cells (BBBC007v1, Broad Bioimage Benchmark Collection). 16 fields of view, each as a DNA image and an actin image (32 grayscale 8-bit images, 400 to 512 px), with 1,264 hand-outlined nuclei and 1,221 hand-outlined cells converted from the official outline rasters to polygon annotations. The benchmark task is finding the boundaries between touching cells, using the nuclei as seeds. License: CC0 1.0 (public domain). Source: https://bbbc.broadinstitute.org/BBBC007. Please cite: Jones, Carpenter & Golland, Voronoi-based segmentation of cells on image manifolds, Proc. ICCV Workshop on Computer Vision for Biomedical Image Applications (CVBIA), 2005; and Ljosa, Sokolnicki & Carpenter, Annotated high-throughput microscopy image sets for validation, Nature Methods 9, 637 (2012).

Nucleus segmentation dataset of U2OS cells from a chemical screen (BBBC039v1, Broad Bioimage Benchmark Collection). 200 fluorescence microscopy fields (520x696, 16-bit TIFF, Hoechst-stained nuclei) spanning 200 bioactive-compound treatments, with 19,379 individually segmented nucleus instances decoded from the official per-pixel class masks (interior/boundary) and converted to polygon annotations (3 fields have no annotated nuclei). Includes the official train (100) / validation (50) / test (50) split. License: CC0 1.0 (public domain). Source: https://bbbc.broadinstitute.org/BBBC039. Please cite: Caicedo et al. 2018, image set BBBC039v1, available from the Broad Bioimage Benchmark Collection [Ljosa et al., Nature Methods, 2012].

Nuclei segmentation dataset from the 2018 Data Science Bowl (BBBC038v1, Broad Bioimage Benchmark Collection). 670 microscopy images with 29,442 individually segmented nuclei as polygon annotations, converted from the official per-nucleus masks. Spans fluorescence and brightfield/histology imagery across multiple organisms and staining protocols. License: CC0 1.0 (public domain). Source: https://bbbc.broadinstitute.org/BBBC038. Please cite: Caicedo et al., Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl. Nature Methods 16, 1247-1253 (2019).