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license: cc-by-nc-4.0
task_categories:
  - image-classification
paperswithcode_id: zoocamnet
pretty_name: 'ZooCAMNet: plankton images captured with the ZooCAM'
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': Acartiidae
            '1': Actinopterygii
            '2': Amphipoda
            '3': Annelida
            '4': Appendicularia
            '5': Bivalvia
            '6': Calanidae
            '7': Calanoida
            '8': Calocalanus
            '9': Candaciidae
            '10': Cavoliniidae
            '11': Centropagidae
            '12': Chaetognatha
            '13': Ciripedia
            '14': Cladocera
            '15': Cnidaria
            '16': Copepoda
            '17': Corycaeidae
            '18': Ctenophora
            '19': Cyclopoida
            '20': Decapoda
            '21': Diatoma
            '22': Diatoma tenuis
            '23': Doliolida
            '24': Euchaeta
            '25': Euterpina
            '26': Evadne
            '27': Gastropoda
            '28': Halosphaera
            '29': Harpacticoida
            '30': Hydrozoa
            '31': Isias
            '32': Limacinidae
            '33': Luidiidae
            '34': Metrinidae
            '35': Microstella
            '36': Nannosquillidae
            '37': Neoceratium
            '38': Noctiluca
            '39': Obelia
            '40': Oncaea
            '41': Penilia
            '42': Phoronida
            '43': Physonectae
            '44': Podon
            '45': Poecilostomatoida
            '46': Pontellidae
            '47': Porcellanidae
            '48': Rhizaria
            '49': Rhizosolenids
            '50': Temoridae
            '51': Thalassionema
            '52': Thaliacea
            '53': Trichodesmium
            '54': artefact
            '55': bract_Diphyidae
            '56': bubble
            '57': chainlarge
            '58': comb_Ctenophora
            '59': cyphonaute
            '60': detritus
            '61': egg_Actinopterygii
            '62': egg_Engraudilae
            '63': egg_Mollusca
            '64': egg_Sardina
            '65': egg_other
            '66': empty_Copepoda
            '67': empty_Harpacticoida
            '68': eudoxie_Diphyidae
            '69': feces
            '70': fiber_detritus
            '71': fiber_plastic
            '72': gelatinous
            '73': gonophore_Diphyidae
            '74': larvae_Annelida
            '75': larvae_Crustacea
            '76': larvae_Echinodermata
            '77': light_detritus
            '78': medium_detritus
            '79': megalopa
            '80': multiple_Copepoda
            '81': nauplii_Crustacea
            '82': nectophore_Diphyidae
            '83': other_Crustacea
            '84': other_Siphonophorae
            '85': other_living
            '86': other_plastic
            '87': part_Crustacea
            '88': pluteus_Echinodermata
            '89': shrimp_like
            '90': tail_Appendicularia
            '91': veliger
            '92': zoea_brachyura
  splits:
    - name: train
      num_bytes: 4556538562.17
      num_examples: 1286590
  download_size: 3043699980
  dataset_size: 4556538562.17
  description: >
    Plankton was sampled with a Continuous Underway Fish Egg Sampler (CUFES,
    315µm mesh size) at 4 m below the

    surface, and a WP2 net (200µm mesh size) from 100m to the surface, or 5 m
    above the sea floor to the surface

    when the depth was < 100 m, in the Bay of Biscay. The full images were
    processed with the ZooCAM software

    and the embedded Matrox Imaging Library (Colas et a., 2018) which generated
    regions of interest (ROIs) around

    each individual object and a set of features measured on the object. The
    same objects were re-processed to

    compute features with the scikit-image library http://scikit-image.org. The
    1,286,590 resulting objects were

    sorted by a limited number of operators, following a common taxonomic guide,
    into 93 taxa, using the web

    application EcoTaxa http://ecotaxa.obs-vlfr.fr. For the purpose of training
    machine learning classifiers, the

    images in each class were split into training, validation, and test sets,
    with proportions 70%, 15% and 15%.
  dataset_name: 'ZooCAMNet: plankton images captured with the ZooCAM'
  citation: |
    @article{dataset:zoocamnet,
      title      = {ZooCAMNet: plankton images captured with the ZooCAM},
      author     = {Romagnan, Jean-Baptiste and Panaïotis, Thelma and Bourriau, Paul
                    and Danielou, Marie-Madeleine and Doray, Mathieu and Dupuy, Christine
                    and Forest, Bertrand and Grandremy, Nina and Huret, Martin and Le Mestre, Sophie
                    and Nowaczyk, Antoine and Petitgas, Pierre and Pineau, Philippe and Rouxel, Justin
                    and Tardivel, Morgan and Irisson, Jean-Olivier},
      year       = 2024,
      journal    = {SEANOE},
      doi        = {10.17882/101928},
      affiliation = {DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Nantes, Centre Atlantique - Rue de l'Ile d'Yeu - BP 21105 - 44311 Nantes Cedex 03, France. E-mail address: nina.grandremy@ifremer.fr.
      Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefanche, LOV, 06230 Villefranche-sur-mer, France.
      Unité DYNECO-PELAGOS, Laboratoire d'Ecologie Pélagique, Ifremer Centre Bretagne - ZI de la Pointe du Diable - CS 10070 - 29280 Plouzané, France.
      BIOFEEL, UMRi LIENSs, La Rochelle Université / CNRS, 2, rue Olympe de Gouges, 17000 La Rochelle, France.
      Laboratoire Hydrodynamique Marine, Unité RDT, Ifremer Centre Bretagne - ZI de la Pointe du Diable - CS 10070 - 29280 Plouzané, France.
      DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Centre Bretagne - ZI de la Pointe du Diable - CS 10070 - 29280 Plouzané, France.
      UMR CNRS 5805 EPOC-OASU, Station Marine d'Arcachon, Université de Bordeaux, 2 Rue du Professeur Jolyet, 33120 Arcachon, France.
      Departement Ressources Biologiques et Environnement, Ifremer Centre Atlantique - Rue de l'Ile d'Yeu - BP 21105 - 44311 Nantes Cedex 03, France.
      Laboratoire Détection, Capteurs et Mesures, Unité RDT, Ifremer Centre Bretagne - ZI de la Pointe du Diable - CS 10070 - 29280 Plouzané, France.}
    }
  homepage: https://www.seanoe.org/data/00907/101928/
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_description: >
  Plankton was sampled with a Continuous Underway Fish Egg Sampler (CUFES, 315µm
  mesh size) at 4 m below the

  surface, and a WP2 net (200µm mesh size) from 100m to the surface, or 5 m
  above the sea floor to the surface

  when the depth was < 100 m, in the Bay of Biscay. The full images were
  processed with the ZooCAM software

  and the embedded Matrox Imaging Library (Colas et a., 2018) which generated
  regions of interest (ROIs) around

  each individual object and a set of features measured on the object. The same
  objects were re-processed to

  compute features with the scikit-image library http://scikit-image.org. The
  1,286,590 resulting objects were

  sorted by a limited number of operators, following a common taxonomic guide,
  into 93 taxa, using the web

  application EcoTaxa http://ecotaxa.obs-vlfr.fr. For the purpose of training
  machine learning classifiers, the

  images in each class were split into training, validation, and test sets, with
  proportions 70%, 15% and 15%.
source_url: https://www.seanoe.org/data/00907/101928/
citation_bibtex: |
  @article{dataset:zoocamnet,
    title      = {ZooCAMNet: plankton images captured with the ZooCAM},
    author     = {Romagnan, Jean-Baptiste and Panaïotis, Thelma and Bourriau, Paul
                  and Danielou, Marie-Madeleine and Doray, Mathieu and Dupuy, Christine
                  and Forest, Bertrand and Grandremy, Nina and Huret, Martin and Le Mestre, Sophie
                  and Nowaczyk, Antoine and Petitgas, Pierre and Pineau, Philippe and Rouxel, Justin
                  and Tardivel, Morgan and Irisson, Jean-Olivier},
    year       = 2024,
    journal    = {SEANOE},
    doi        = {10.17882/101928},
    affiliation = {DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Nantes, Centre Atlantique - Rue de l'Ile d'Yeu - BP 21105 - 44311 Nantes Cedex 03, France. E-mail address: nina.grandremy@ifremer.fr.
    Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefanche, LOV, 06230 Villefranche-sur-mer, France.
    Unité DYNECO-PELAGOS, Laboratoire d'Ecologie Pélagique, Ifremer Centre Bretagne - ZI de la Pointe du Diable - CS 10070 - 29280 Plouzané, France.
    BIOFEEL, UMRi LIENSs, La Rochelle Université / CNRS, 2, rue Olympe de Gouges, 17000 La Rochelle, France.
    Laboratoire Hydrodynamique Marine, Unité RDT, Ifremer Centre Bretagne - ZI de la Pointe du Diable - CS 10070 - 29280 Plouzané, France.
    DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Centre Bretagne - ZI de la Pointe du Diable - CS 10070 - 29280 Plouzané, France.
    UMR CNRS 5805 EPOC-OASU, Station Marine d'Arcachon, Université de Bordeaux, 2 Rue du Professeur Jolyet, 33120 Arcachon, France.
    Departement Ressources Biologiques et Environnement, Ifremer Centre Atlantique - Rue de l'Ile d'Yeu - BP 21105 - 44311 Nantes Cedex 03, France.
    Laboratoire Détection, Capteurs et Mesures, Unité RDT, Ifremer Centre Bretagne - ZI de la Pointe du Diable - CS 10070 - 29280 Plouzané, France.}
  }
citation_apa: >
  Romagnan, J.-B., Panaïotis, T., Bourriau, P., Danielou, M.-M., Doray, M.,
  Dupuy, C., Forest, B., Grandremy, N., 

  Huret, M., Le Mestre, S., Nowaczyk, A., Petitgas, P., Pineau, P., Rouxel, J.,
  Tardivel, M., & Irisson, J.-O. (2024). 

  ZooCAMNet: plankton images captured with the ZooCAM. SEANOE.
  https://doi.org/10.17882/101928
hf_dataset_name: zoocamnet
hf_org_name: project-oceania
report_markdown: >
  **Samples per class for split `train`**
   ```──────────────────────── Label histogram for train split  ─────────────────────────
  0: Acartiidae             ▇▇▇▇▇▇▇▇ 33912.00

  1: Actinopterygii          100.00

  2: Amphipoda               304.00

  3: Annelida                390.00

  4: Appendicularia         ▇▇▇ 13086.00

  5: Bivalvia                2482.00

  6: Calanidae              ▇▇▇ 11921.00

  7: Calanoida              ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  197751.00

  8: Calocalanus             1054.00

  9: Candaciidae             171.00

  10: Cavoliniidae           365.00

  11: Centropagidae          6203.00

  12: Chaetognatha           3150.00

  13: Ciripedia             ▇▇ 8287.00

  14: Cladocera             ▇▇ 6669.00

  15: Cnidaria               156.00

  16: Copepoda              ▇▇▇▇ 18557.00

  17: Corycaeidae            3659.00

  18: Ctenophora             116.00

  19: Cyclopoida            ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 139175.00

  20: Decapoda               480.00

  21: Diatoma               ▇▇▇▇▇▇▇▇▇ 38247.00

  22: Diatoma tenuis         4515.00

  23: Doliolida              91.00

  24: Euchaeta               4548.00

  25: Euterpina              1449.00

  26: Evadne                 2014.00

  27: Gastropoda             119.00

  28: Halosphaera            508.00

  29: Harpacticoida          645.00

  30: Hydrozoa               2484.00

  31: Isias                  281.00

  32: Limacinidae           ▇▇ 10223.00

  33: Luidiidae              110.00

  34: Metrinidae             2499.00

  35: Microstella            318.00

  36: Nannosquillidae        81.00

  37: Neoceratium           ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 97680.00

  38: Noctiluca             ▇▇▇ 14269.00

  39: Obelia                 549.00

  40: Oncaea                ▇▇▇▇▇ 23336.00

  41: Penilia                398.00

  42: Phoronida              94.00

  43: Physonectae            175.00

  44: Podon                  188.00

  45: Poecilostomatoida      692.00

  46: Pontellidae            239.00

  47: Porcellanidae          884.00

  48: Rhizaria              ▇▇▇▇▇▇▇ 28835.00

  49: Rhizosolenids         ▇▇▇▇▇▇ 24178.00

  50: Temoridae             ▇▇▇ 14638.00

  51: Thalassionema          279.00

  52: Thaliacea              501.00

  53: Trichodesmium          5319.00

  54: artefact              ▇▇▇ 13522.00

  55: bract_Diphyidae        1845.00

  56: bubble                ▇▇▇▇▇▇▇▇▇▇▇▇▇ 53723.00

  57: chainlarge            ▇▇▇ 14375.00

  58: comb_Ctenophora        270.00

  59: cyphonaute             1593.00

  60: detritus              ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  204132.00

  61: egg_Actinopterygii     5138.00

  62: egg_Engraudilae       ▇▇▇▇▇▇▇▇▇▇ 41455.00

  63: egg_Mollusca           256.00

  64: egg_Sardina           ▇▇ 7754.00

  65: egg_other              239.00

  66: empty_Copepoda        ▇▇▇▇ 17243.00

  67: empty_Harpacticoida    619.00

  68: eudoxie_Diphyidae      714.00

  69: feces                  847.00

  70: fiber_detritus        ▇▇▇▇▇▇▇▇▇▇▇▇▇ 55355.00

  71: fiber_plastic          185.00

  72: gelatinous             1180.00

  73: gonophore_Diphyidae    5945.00

  74: larvae_Annelida        372.00

  75: larvae_Crustacea       3557.00

  76: larvae_Echinodermata   487.00

  77: light_detritus        ▇▇▇▇▇▇▇▇▇▇▇▇▇ 53274.00

  78: medium_detritus        2131.00

  79: megalopa               1427.00

  80: multiple_Copepoda      5750.00

  81: nauplii_Crustacea      4637.00

  82: nectophore_Diphyidae   1405.00

  83: other_Crustacea        470.00

  84: other_Siphonophorae    712.00

  85: other_living          ▇▇▇▇▇▇ 25454.00

  86: other_plastic          4229.00

  87: part_Crustacea         1264.00

  88: pluteus_Echinodermata  2412.00

  89: shrimp_like            3565.00

  90: tail_Appendicularia    1860.00

  91: veliger                127.00

  92: zoea_brachyura        ▇▇▇▇ 18693.00

  ```
dataset_means: '[0.86130397425359]'
dataset_stds: '[0.24343338161255404]'

Dataset ZooCAMNet: plankton images captured with the ZooCAM

Plankton was sampled with a Continuous Underway Fish Egg Sampler (CUFES, 315µm mesh size) at 4 m below the surface, and a WP2 net (200µm mesh size) from 100m to the surface, or 5 m above the sea floor to the surface when the depth was < 100 m, in the Bay of Biscay. The full images were processed with the ZooCAM software and the embedded Matrox Imaging Library (Colas et a., 2018) which generated regions of interest (ROIs) around each individual object and a set of features measured on the object. The same objects were re-processed to compute features with the scikit-image library http://scikit-image.org. The 1,286,590 resulting objects were sorted by a limited number of operators, following a common taxonomic guide, into 93 taxa, using the web application EcoTaxa http://ecotaxa.obs-vlfr.fr. For the purpose of training machine learning classifiers, the images in each class were split into training, validation, and test sets, with proportions 70%, 15% and 15%.

Details

  • train split means (RGB): [0.86130397425359]
  • train split standard deviations (RGB): [0.24343338161255404]

Samples per class for split train

0: Acartiidae             ▇▇▇▇▇▇▇▇ 33912.00
1: Actinopterygii          100.00
2: Amphipoda               304.00
3: Annelida                390.00
4: Appendicularia         ▇▇▇ 13086.00
5: Bivalvia               ▇ 2482.00
6: Calanidae              ▇▇▇ 11921.00
7: Calanoida              ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 197751.00
8: Calocalanus             1054.00
9: Candaciidae             171.00
10: Cavoliniidae           365.00
11: Centropagidae         ▇ 6203.00
12: Chaetognatha          ▇ 3150.00
13: Ciripedia             ▇▇ 8287.00
14: Cladocera             ▇▇ 6669.00
15: Cnidaria               156.00
16: Copepoda              ▇▇▇▇ 18557.00
17: Corycaeidae           ▇ 3659.00
18: Ctenophora             116.00
19: Cyclopoida            ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 139175.00
20: Decapoda               480.00
21: Diatoma               ▇▇▇▇▇▇▇▇▇ 38247.00
22: Diatoma tenuis        ▇ 4515.00
23: Doliolida              91.00
24: Euchaeta              ▇ 4548.00
25: Euterpina              1449.00
26: Evadne                 2014.00
27: Gastropoda             119.00
28: Halosphaera            508.00
29: Harpacticoida          645.00
30: Hydrozoa              ▇ 2484.00
31: Isias                  281.00
32: Limacinidae           ▇▇ 10223.00
33: Luidiidae              110.00
34: Metrinidae            ▇ 2499.00
35: Microstella            318.00
36: Nannosquillidae        81.00
37: Neoceratium           ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 97680.00
38: Noctiluca             ▇▇▇ 14269.00
39: Obelia                 549.00
40: Oncaea                ▇▇▇▇▇ 23336.00
41: Penilia                398.00
42: Phoronida              94.00
43: Physonectae            175.00
44: Podon                  188.00
45: Poecilostomatoida      692.00
46: Pontellidae            239.00
47: Porcellanidae          884.00
48: Rhizaria              ▇▇▇▇▇▇▇ 28835.00
49: Rhizosolenids         ▇▇▇▇▇▇ 24178.00
50: Temoridae             ▇▇▇ 14638.00
51: Thalassionema          279.00
52: Thaliacea              501.00
53: Trichodesmium         ▇ 5319.00
54: artefact              ▇▇▇ 13522.00
55: bract_Diphyidae        1845.00
56: bubble                ▇▇▇▇▇▇▇▇▇▇▇▇▇ 53723.00
57: chainlarge            ▇▇▇ 14375.00
58: comb_Ctenophora        270.00
59: cyphonaute             1593.00
60: detritus              ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 204132.00
61: egg_Actinopterygii    ▇ 5138.00
62: egg_Engraudilae       ▇▇▇▇▇▇▇▇▇▇ 41455.00
63: egg_Mollusca           256.00
64: egg_Sardina           ▇▇ 7754.00
65: egg_other              239.00
66: empty_Copepoda        ▇▇▇▇ 17243.00
67: empty_Harpacticoida    619.00
68: eudoxie_Diphyidae      714.00
69: feces                  847.00
70: fiber_detritus        ▇▇▇▇▇▇▇▇▇▇▇▇▇ 55355.00
71: fiber_plastic          185.00
72: gelatinous             1180.00
73: gonophore_Diphyidae   ▇ 5945.00
74: larvae_Annelida        372.00
75: larvae_Crustacea      ▇ 3557.00
76: larvae_Echinodermata   487.00
77: light_detritus        ▇▇▇▇▇▇▇▇▇▇▇▇▇ 53274.00
78: medium_detritus       ▇ 2131.00
79: megalopa               1427.00
80: multiple_Copepoda     ▇ 5750.00
81: nauplii_Crustacea     ▇ 4637.00
82: nectophore_Diphyidae   1405.00
83: other_Crustacea        470.00
84: other_Siphonophorae    712.00
85: other_living          ▇▇▇▇▇▇ 25454.00
86: other_plastic         ▇ 4229.00
87: part_Crustacea         1264.00
88: pluteus_Echinodermata ▇ 2412.00
89: shrimp_like           ▇ 3565.00
90: tail_Appendicularia    1860.00
91: veliger                127.00
92: zoea_brachyura        ▇▇▇▇ 18693.00

Reference

Romagnan, J.-B., Panaïotis, T., Bourriau, P., Danielou, M.-M., Doray, M., Dupuy, C., Forest, B., Grandremy, N., Huret, M., Le Mestre, S., Nowaczyk, A., Petitgas, P., Pineau, P., Rouxel, J., Tardivel, M., & Irisson, J.-O. (2024). ZooCAMNet: plankton images captured with the ZooCAM. SEANOE. https://doi.org/10.17882/101928

BibTEX

@article{dataset:zoocamnet,
  title      = {ZooCAMNet: plankton images captured with the ZooCAM},
  author     = {Romagnan, Jean-Baptiste and Panaïotis, Thelma and Bourriau, Paul
                and Danielou, Marie-Madeleine and Doray, Mathieu and Dupuy, Christine
                and Forest, Bertrand and Grandremy, Nina and Huret, Martin and Le Mestre, Sophie
                and Nowaczyk, Antoine and Petitgas, Pierre and Pineau, Philippe and Rouxel, Justin
                and Tardivel, Morgan and Irisson, Jean-Olivier},
  year       = 2024,
  journal    = {SEANOE},
  doi        = {10.17882/101928},
  affiliation = {DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Nantes, Centre Atlantique - Rue de l'Ile d'Yeu - BP 21105 - 44311 Nantes Cedex 03, France. E-mail address: nina.grandremy@ifremer.fr.
  Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefanche, LOV, 06230 Villefranche-sur-mer, France.
  Unité DYNECO-PELAGOS, Laboratoire d'Ecologie Pélagique, Ifremer Centre Bretagne - ZI de la Pointe du Diable - CS 10070 - 29280 Plouzané, France.
  BIOFEEL, UMRi LIENSs, La Rochelle Université / CNRS, 2, rue Olympe de Gouges, 17000 La Rochelle, France.
  Laboratoire Hydrodynamique Marine, Unité RDT, Ifremer Centre Bretagne - ZI de la Pointe du Diable - CS 10070 - 29280 Plouzané, France.
  DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Centre Bretagne - ZI de la Pointe du Diable - CS 10070 - 29280 Plouzané, France.
  UMR CNRS 5805 EPOC-OASU, Station Marine d'Arcachon, Université de Bordeaux, 2 Rue du Professeur Jolyet, 33120 Arcachon, France.
  Departement Ressources Biologiques et Environnement, Ifremer Centre Atlantique - Rue de l'Ile d'Yeu - BP 21105 - 44311 Nantes Cedex 03, France.
  Laboratoire Détection, Capteurs et Mesures, Unité RDT, Ifremer Centre Bretagne - ZI de la Pointe du Diable - CS 10070 - 29280 Plouzané, France.}
}

Usage

from datasets import load_dataset

dataset = load_dataset("project-oceania/zoocamnet")