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%.

Original dataset available online at: https://www.seanoe.org/data/00907/101928/.
Original dataset license: <cc-by-nc-4.0>.

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")

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Plankton images datasets

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