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--- |
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license: cc-by-4.0 |
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task_categories: |
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- image-classification |
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pretty_name: ZooLake Plankton Dataset |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': aphanizomenon |
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'1': asplanchna |
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'2': asterionella |
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'3': bosmina |
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'4': brachionus |
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'5': ceratium |
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'6': chaoborus |
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'7': conochilus |
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'8': copepod_skins |
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'9': cyclops |
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'10': daphnia |
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'11': daphnia_skins |
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'12': diaphanosoma |
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'13': diatom_chain |
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'14': dinobryon |
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'15': dirt |
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'16': eudiaptomus |
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'17': filament |
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'18': fish |
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'19': fragilaria |
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'20': hydra |
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'21': kellicottia |
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'22': keratella_cochlearis |
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'23': keratella_quadrata |
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'24': leptodora |
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'25': maybe_cyano |
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'26': nauplius |
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'27': paradileptus |
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'28': polyarthra |
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'29': rotifers |
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'30': synchaeta |
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'31': trichocerca |
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'32': unknown |
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'33': unknown_plankton |
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'34': uroglena |
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splits: |
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- name: train |
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num_bytes: 27604906.949 |
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num_examples: 12559 |
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- name: validation |
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num_bytes: 10401586.405 |
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num_examples: 2691 |
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- name: test |
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num_bytes: 10875089.144 |
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num_examples: 2692 |
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download_size: 59414182 |
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dataset_size: 48881582.498 |
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description: Plankton images annotated into 35 classes over 17900 images of zooplankton |
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and large phytoplankton colonies, detected in Lake Greifensee (Switzerland) with |
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the Dual Scripps Plankton Camera. |
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dataset_name: ZooLake Plankton Dataset |
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citation: "@article{dataset:zoolake,\n title = {Deep learning classification\ |
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\ of lake zooplankton},\n author = {Kyathanahally, S.P. and Hardeman, T. and\ |
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\ Merz, E. and Bulas, T. and Reyes, M. and Isles, P. and Pomati, F. and Baity-Jesi,\ |
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\ M.},\n journal = {Frontiers in Microbiology},\n volume = {12},\n year \ |
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\ = {2021},\n doi = {10.3389/fmicb.2021.746297},\n url = {https://www.frontiersin.org/articles/10.3389/fmicb.2021.746297}\n\ |
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}" |
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homepage: https://opendata.eawag.ch/dataset/52b6ba86-5ecb-448c-8c01-eec7cb209dc7/resource/1cc785fa-36c2-447d-bb11-92ce1d1f3f2d/download/data.zip |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: validation |
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path: data/validation-* |
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- split: test |
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path: data/test-* |
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dataset_description: Plankton images annotated into 35 classes over 17900 images of |
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zooplankton and large phytoplankton colonies, detected in Lake Greifensee (Switzerland) |
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with the Dual Scripps Plankton Camera. |
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citation_bibtex: "@article{dataset:zoolake,\n title = {Deep learning classification\ |
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\ of lake zooplankton},\n author = {Kyathanahally, S.P. and Hardeman, T. and Merz,\ |
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\ E. and Bulas, T. and Reyes, M. and Isles, P. and Pomati, F. and Baity-Jesi, M.},\n\ |
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\ journal = {Frontiers in Microbiology},\n volume = {12},\n year = {2021},\n\ |
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\ doi = {10.3389/fmicb.2021.746297},\n url = {https://www.frontiersin.org/articles/10.3389/fmicb.2021.746297}\n\ |
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}" |
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citation_apa: "Kyathanahally, S. P., Hardeman, T., Merz, E., Bulas, T., Reyes, M.,\ |
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\ Isles, P., Pomati, F., & Baity-Jesi, M. (2021). \nDeep learning classification\ |
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\ of lake zooplankton. Frontiers in Microbiology, 12. https://doi.org/10.3389/fmicb.2021.746297\n" |
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hf_dataset_name: zoolake |
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hf_org_name: project-oceania |
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source_url: https://opendata.eawag.ch/dataset/52b6ba86-5ecb-448c-8c01-eec7cb209dc7/resource/1cc785fa-36c2-447d-bb11-92ce1d1f3f2d/download/data.zip |
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report_markdown: "**Samples per class for split `train`**\n ```────────────────────────\ |
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\ Label histogram for train split ─────────────────────────\n0: aphanizomenon \ |
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\ ▇▇▇▇ 164.00\n1: asplanchna ▇▇▇▇▇▇▇▇▇ 410.00\n2: asterionella\ |
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\ ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 735.00\n3: bosmina ▇ 51.00\n4: brachionus\ |
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\ ▇▇ 93.00\n5: ceratium ▇▇▇▇▇▇▇▇▇▇▇▇ 558.00\n6: chaoborus\ |
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\ 7.00\n7: conochilus ▇▇▇▇ 189.00\n8: copepod_skins \ |
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\ ▇ 24.00\n9: cyclops ▇▇▇▇▇▇▇▇▇▇▇▇▇ 591.00\n10: daphnia \ |
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\ ▇▇▇▇▇▇▇▇▇▇▇ 510.00\n11: daphnia_skins ▇ 39.00\n12: diaphanosoma\ |
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\ ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 769.00\n13: diatom_chain 12.00\n14: dinobryon\ |
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\ ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 2366.00\n15: dirt\ |
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\ ▇▇ 91.00\n16: eudiaptomus ▇▇▇▇▇▇▇▇ 375.00\n17: filament\ |
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\ ▇▇▇▇▇▇ 276.00\n18: fish ▇▇▇ 155.00\n19: fragilaria\ |
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\ ▇▇▇▇▇ 215.00\n20: hydra 15.00\n21: kellicottia \ |
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\ ▇▇▇▇▇▇▇▇ 375.00\n22: keratella_cochlearis ▇▇ 84.00\n23: keratella_quadrata\ |
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\ ▇▇▇▇▇▇ 285.00\n24: leptodora ▇▇▇ 144.00\n25: maybe_cyano \ |
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\ ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 958.00\n26: nauplius ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇\ |
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\ 1044.00\n27: paradileptus ▇▇▇▇▇▇ 291.00\n28: polyarthra ▇ 57.00\n\ |
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29: rotifers ▇▇▇▇▇▇▇▇▇▇▇▇ 535.00\n30: synchaeta ▇▇ 90.00\n\ |
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31: trichocerca ▇▇▇▇ 174.00\n32: unknown ▇▇▇▇ 176.00\n33:\ |
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\ unknown_plankton ▇ 49.00\n34: uroglena ▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 652.00\n\ |
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```\n\n**Samples per class for split `validation`**\n ```──────────────────────\ |
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\ Label histogram for validation split ──────────────────────\n0: aphanizomenon\ |
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\ ▇▇▇ 33.00\n1: asplanchna ▇▇▇▇▇▇▇▇▇▇▇ 103.00\n2: asterionella\ |
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\ ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 154.00\n3: bosmina ▇▇ 15.00\n4: brachionus\ |
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\ ▇▇ 23.00\n5: ceratium ▇▇▇▇▇▇▇▇▇▇▇▇▇ 126.00\n6: chaoborus\ |
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\ 1.00\n7: conochilus ▇▇▇ 33.00\n8: copepod_skins \ |
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\ 3.00\n9: cyclops ▇▇▇▇▇▇▇▇▇▇▇▇▇ 127.00\n10: daphnia \ |
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\ ▇▇▇▇▇▇▇▇▇▇ 99.00\n11: daphnia_skins 2.00\n12: diaphanosoma \ |
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\ ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 159.00\n13: diatom_chain 2.00\n14: dinobryon \ |
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\ ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 510.00\n15: dirt \ |
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\ ▇▇ 18.00\n16: eudiaptomus ▇▇▇▇▇▇▇▇▇ 87.00\n17: filament \ |
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\ ▇▇▇▇▇▇▇ 64.00\n18: fish ▇▇▇ 29.00\n19: fragilaria \ |
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\ ▇▇▇▇▇▇ 56.00\n20: hydra 2.00\n21: kellicottia \ |
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\ ▇▇▇▇▇▇▇▇ 79.00\n22: keratella_cochlearis ▇▇ 15.00\n23: keratella_quadrata \ |
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\ ▇▇▇▇▇▇▇ 70.00\n24: leptodora ▇▇▇ 26.00\n25: maybe_cyano ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇\ |
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\ 202.00\n26: nauplius ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 222.00\n27: paradileptus\ |
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\ ▇▇▇▇▇▇▇ 72.00\n28: polyarthra ▇ 10.00\n29: rotifers \ |
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\ ▇▇▇▇▇▇▇▇▇▇ 100.00\n30: synchaeta ▇▇ 23.00\n31: trichocerca \ |
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\ ▇▇▇▇ 44.00\n32: unknown ▇▇▇ 26.00\n33: unknown_plankton \ |
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\ ▇ 11.00\n34: uroglena ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 145.00\n```\n\n**Samples per\ |
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\ class for split `test`**\n ```───────────────────────── Label histogram for test\ |
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\ split ─────────────────────────\n0: aphanizomenon ▇▇▇ 28.00\n1: asplanchna\ |
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\ ▇▇▇▇▇▇▇▇▇▇▇ 93.00\n2: asterionella ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 165.00\n\ |
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3: bosmina ▇▇ 14.00\n4: brachionus ▇▇ 21.00\n5: ceratium\ |
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\ ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 130.00\n6: chaoborus 2.00\n7: conochilus\ |
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\ ▇▇▇▇▇ 42.00\n8: copepod_skins ▇ 6.00\n9: cyclops \ |
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\ ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 148.00\n10: daphnia ▇▇▇▇▇▇▇▇▇▇▇▇▇ 112.00\n\ |
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11: daphnia_skins ▇ 5.00\n12: diaphanosoma ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 161.00\n\ |
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13: diatom_chain 3.00\n14: dinobryon ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇\ |
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\ 446.00\n15: dirt ▇▇▇ 22.00\n16: eudiaptomus ▇▇▇▇▇▇▇▇▇\ |
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\ 75.00\n17: filament ▇▇▇▇▇▇▇▇ 65.00\n18: fish ▇▇▇▇\ |
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\ 38.00\n19: fragilaria ▇▇▇▇ 35.00\n20: hydra 1.00\n21:\ |
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\ kellicottia ▇▇▇▇▇▇▇▇ 65.00\n22: keratella_cochlearis ▇▇ 13.00\n23: keratella_quadrata\ |
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\ ▇▇▇▇▇▇▇▇ 65.00\n24: leptodora ▇▇▇▇ 33.00\n25: maybe_cyano \ |
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\ ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 204.00\n26: nauplius ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇\ |
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\ 241.00\n27: paradileptus ▇▇▇▇▇▇▇ 61.00\n28: polyarthra ▇ 12.00\n\ |
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29: rotifers ▇▇▇▇▇▇▇▇▇▇▇▇▇ 110.00\n30: synchaeta ▇▇▇ 29.00\n\ |
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31: trichocerca ▇▇▇▇ 37.00\n32: unknown ▇▇▇▇▇ 43.00\n33: unknown_plankton\ |
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\ ▇ 11.00\n34: uroglena ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 156.00\n```\n" |
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dataset_means: '[0.05492783056776769, 0.050561395292361595, 0.04523793400099787]' |
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dataset_stds: '[0.1515838323231226, 0.14021859660251165, 0.12578012700158586]' |
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--- |
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# Dataset *ZooLake Plankton Dataset* |
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Plankton images annotated into 35 classes over 17900 images of zooplankton and large phytoplankton colonies, detected in Lake Greifensee (Switzerland) with the Dual Scripps Plankton Camera. |
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- **Original dataset available online at:** <https://opendata.eawag.ch/dataset/52b6ba86-5ecb-448c-8c01-eec7cb209dc7/resource/1cc785fa-36c2-447d-bb11-92ce1d1f3f2d/download/data.zip>. |
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- **Original dataset license:** <cc-by-4.0>. |
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## Details |
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- **train split means (RGB):** [0.05492783056776769, 0.050561395292361595, 0.04523793400099787] |
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- **train split standard deviations (RGB):** [0.1515838323231226, 0.14021859660251165, 0.12578012700158586] |
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**Samples per class for split `train`** |
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```──────────────────────── Label histogram for train split ───────────────────────── |
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0: aphanizomenon ▇▇▇▇ 164.00 |
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1: asplanchna ▇▇▇▇▇▇▇▇▇ 410.00 |
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2: asterionella ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 735.00 |
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3: bosmina ▇ 51.00 |
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4: brachionus ▇▇ 93.00 |
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5: ceratium ▇▇▇▇▇▇▇▇▇▇▇▇ 558.00 |
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6: chaoborus 7.00 |
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7: conochilus ▇▇▇▇ 189.00 |
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8: copepod_skins ▇ 24.00 |
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9: cyclops ▇▇▇▇▇▇▇▇▇▇▇▇▇ 591.00 |
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10: daphnia ▇▇▇▇▇▇▇▇▇▇▇ 510.00 |
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11: daphnia_skins ▇ 39.00 |
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12: diaphanosoma ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 769.00 |
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13: diatom_chain 12.00 |
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14: dinobryon ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 2366.00 |
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15: dirt ▇▇ 91.00 |
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16: eudiaptomus ▇▇▇▇▇▇▇▇ 375.00 |
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17: filament ▇▇▇▇▇▇ 276.00 |
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18: fish ▇▇▇ 155.00 |
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19: fragilaria ▇▇▇▇▇ 215.00 |
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20: hydra 15.00 |
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21: kellicottia ▇▇▇▇▇▇▇▇ 375.00 |
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22: keratella_cochlearis ▇▇ 84.00 |
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23: keratella_quadrata ▇▇▇▇▇▇ 285.00 |
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24: leptodora ▇▇▇ 144.00 |
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25: maybe_cyano ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 958.00 |
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26: nauplius ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 1044.00 |
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27: paradileptus ▇▇▇▇▇▇ 291.00 |
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28: polyarthra ▇ 57.00 |
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29: rotifers ▇▇▇▇▇▇▇▇▇▇▇▇ 535.00 |
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30: synchaeta ▇▇ 90.00 |
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31: trichocerca ▇▇▇▇ 174.00 |
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32: unknown ▇▇▇▇ 176.00 |
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33: unknown_plankton ▇ 49.00 |
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34: uroglena ▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 652.00 |
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``` |
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**Samples per class for split `validation`** |
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```────────────────────── Label histogram for validation split ────────────────────── |
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0: aphanizomenon ▇▇▇ 33.00 |
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1: asplanchna ▇▇▇▇▇▇▇▇▇▇▇ 103.00 |
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2: asterionella ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 154.00 |
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3: bosmina ▇▇ 15.00 |
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4: brachionus ▇▇ 23.00 |
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5: ceratium ▇▇▇▇▇▇▇▇▇▇▇▇▇ 126.00 |
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6: chaoborus 1.00 |
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7: conochilus ▇▇▇ 33.00 |
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8: copepod_skins 3.00 |
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9: cyclops ▇▇▇▇▇▇▇▇▇▇▇▇▇ 127.00 |
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10: daphnia ▇▇▇▇▇▇▇▇▇▇ 99.00 |
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11: daphnia_skins 2.00 |
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12: diaphanosoma ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 159.00 |
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13: diatom_chain 2.00 |
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14: dinobryon ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 510.00 |
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15: dirt ▇▇ 18.00 |
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16: eudiaptomus ▇▇▇▇▇▇▇▇▇ 87.00 |
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17: filament ▇▇▇▇▇▇▇ 64.00 |
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18: fish ▇▇▇ 29.00 |
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19: fragilaria ▇▇▇▇▇▇ 56.00 |
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20: hydra 2.00 |
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21: kellicottia ▇▇▇▇▇▇▇▇ 79.00 |
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22: keratella_cochlearis ▇▇ 15.00 |
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23: keratella_quadrata ▇▇▇▇▇▇▇ 70.00 |
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24: leptodora ▇▇▇ 26.00 |
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25: maybe_cyano ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 202.00 |
|
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26: nauplius ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 222.00 |
|
|
27: paradileptus ▇▇▇▇▇▇▇ 72.00 |
|
|
28: polyarthra ▇ 10.00 |
|
|
29: rotifers ▇▇▇▇▇▇▇▇▇▇ 100.00 |
|
|
30: synchaeta ▇▇ 23.00 |
|
|
31: trichocerca ▇▇▇▇ 44.00 |
|
|
32: unknown ▇▇▇ 26.00 |
|
|
33: unknown_plankton ▇ 11.00 |
|
|
34: uroglena ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 145.00 |
|
|
``` |
|
|
|
|
|
**Samples per class for split `test`** |
|
|
```───────────────────────── Label histogram for test split ───────────────────────── |
|
|
0: aphanizomenon ▇▇▇ 28.00 |
|
|
1: asplanchna ▇▇▇▇▇▇▇▇▇▇▇ 93.00 |
|
|
2: asterionella ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 165.00 |
|
|
3: bosmina ▇▇ 14.00 |
|
|
4: brachionus ▇▇ 21.00 |
|
|
5: ceratium ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 130.00 |
|
|
6: chaoborus 2.00 |
|
|
7: conochilus ▇▇▇▇▇ 42.00 |
|
|
8: copepod_skins ▇ 6.00 |
|
|
9: cyclops ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 148.00 |
|
|
10: daphnia ▇▇▇▇▇▇▇▇▇▇▇▇▇ 112.00 |
|
|
11: daphnia_skins ▇ 5.00 |
|
|
12: diaphanosoma ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 161.00 |
|
|
13: diatom_chain 3.00 |
|
|
14: dinobryon ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 446.00 |
|
|
15: dirt ▇▇▇ 22.00 |
|
|
16: eudiaptomus ▇▇▇▇▇▇▇▇▇ 75.00 |
|
|
17: filament ▇▇▇▇▇▇▇▇ 65.00 |
|
|
18: fish ▇▇▇▇ 38.00 |
|
|
19: fragilaria ▇▇▇▇ 35.00 |
|
|
20: hydra 1.00 |
|
|
21: kellicottia ▇▇▇▇▇▇▇▇ 65.00 |
|
|
22: keratella_cochlearis ▇▇ 13.00 |
|
|
23: keratella_quadrata ▇▇▇▇▇▇▇▇ 65.00 |
|
|
24: leptodora ▇▇▇▇ 33.00 |
|
|
25: maybe_cyano ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 204.00 |
|
|
26: nauplius ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 241.00 |
|
|
27: paradileptus ▇▇▇▇▇▇▇ 61.00 |
|
|
28: polyarthra ▇ 12.00 |
|
|
29: rotifers ▇▇▇▇▇▇▇▇▇▇▇▇▇ 110.00 |
|
|
30: synchaeta ▇▇▇ 29.00 |
|
|
31: trichocerca ▇▇▇▇ 37.00 |
|
|
32: unknown ▇▇▇▇▇ 43.00 |
|
|
33: unknown_plankton ▇ 11.00 |
|
|
34: uroglena ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 156.00 |
|
|
``` |
|
|
|
|
|
|
|
|
## Reference |
|
|
Kyathanahally, S. P., Hardeman, T., Merz, E., Bulas, T., Reyes, M., Isles, P., Pomati, F., & Baity-Jesi, M. (2021). |
|
|
Deep learning classification of lake zooplankton. Frontiers in Microbiology, 12. https://doi.org/10.3389/fmicb.2021.746297 |
|
|
|
|
|
|
|
|
### BibTEX |
|
|
```bibtex |
|
|
@article{dataset:zoolake, |
|
|
title = {Deep learning classification of lake zooplankton}, |
|
|
author = {Kyathanahally, S.P. and Hardeman, T. and Merz, E. and Bulas, T. and Reyes, M. and Isles, P. and Pomati, F. and Baity-Jesi, M.}, |
|
|
journal = {Frontiers in Microbiology}, |
|
|
volume = {12}, |
|
|
year = {2021}, |
|
|
doi = {10.3389/fmicb.2021.746297}, |
|
|
url = {https://www.frontiersin.org/articles/10.3389/fmicb.2021.746297} |
|
|
} |
|
|
``` |
|
|
|
|
|
## Usage |
|
|
```python |
|
|
from datasets import load_dataset |
|
|
|
|
|
dataset = load_dataset("project-oceania/zoolake") |
|
|
``` |
