Datasets:
metadata
license: cc-by-nc-4.0
task_categories:
- image-classification
paperswithcode_id: planktoscope
pretty_name: 'PlanktoScope_reference : plankton images captured with the PlanktoScope'
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Acantharea
'1': Acantharia
'2': Acartiidae
'3': Actinommidae
'4': Amphibelone
'5': Amphisolenia
'6': Amphorellopsis
'7': Amphorides_Tintinnidiidae
'8': Appendicularia
'9': Asterionella
'10': Asterionellopsis
'11': Asterolamprales
'12': Bacillaria
'13': Bacillariophyceae
'14': Bacteriastrum_Chaetocerotales
'15': Bacteriastrum_Mediophyceae
'16': Bellerochea
'17': Biddulphia
'18': Bivalvia_Mollusca
'19': Bleakeleya
'20': Bleakeleya notata
'21': Calanoida
'22': Callimitra
'23': Calocalanus
'24': Centropages
'25': Centropagidae
'26': Cerataulina
'27': Ceratocorys
'28': Ceratocorys horrida
'29': Chaetoceros affinis
'30': Chaetoceros dadayi
'31': Chaetoceros danicus
'32': Chaetoceros inter epibiont
'33': Chaetoceros peruvianus
'34': Chaetoceros_Mediophyceae
'35': Chaetognatha
'36': Challengeron
'37': Ciliophora
'38': Cladopyxis
'39': Climacocylis
'40': Climacodium
'41': Climacosphenia
'42': Coccodiscidae
'43': Codonaria
'44': Codonella
'45': Codonella amphorella
'46': Codonellopsis orthoceras
'47': Codonellopsis_Tintinnidiidae
'48': Collozoum
'49': Copepoda_Maxillopoda
'50': Corethron
'51': Corycaeidae
'52': Corythodinium
'53': Corythodinium constrictum
'54': Corythodinium tesselatum
'55': Coscinodiscophycidae
'56': Cyanobacteria_Bacteria
'57': Cystidium
'58': Cyttarocylis
'59': Dadayiella
'60': Dictyocha
'61': Dictyocysta
'62': Dinophyceae
'63': Dinophysis
'64': Dinophysis caudata_Dinophysis
'65': Dinophysis tripos
'66': Ditylum
'67': Doliolida
'68': Entomoneis
'69': Epicancella
'70': Epiplocylis
'71': Ethmodiscus gazellae
'72': Eucampia
'73': Eucampia cornuta
'74': Euphysetta
'75': Euterpina
'76': Eutintinnus
'77': Evadne
'78': Favella
'79': Foraminifera
'80': Fragilariaceae
'81': Fritillariidae
'82': Gastropoda_Mollusca
'83': Gossleriella
'84': Guinardia flaccida
'85': Gyrodinium
'86': Halosphaera
'87': Harpacticoida
'88': Helicotheca tamesis
'89': Hemiaulus
'90': Hemidiscus
'91': Isthmia
'92': Lauderia
'93': Leprotintinnus
'94': Leptocylindrus
'95': Leptocylindrus mediterraneus
'96': Licmophora
'97': Lioloma
'98': Lithodesmium
'99': Lithoptera
'100': Mastogloia
'101': Mediopyxis
'102': Microsetella
'103': Nassellaria_Polycystinea
'104': Naviculales
'105': Nematoda
'106': Neocalyptrella
'107': Neoceratium
'108': Neoceratium arietinum
'109': Neoceratium azoricum
'110': Neoceratium belone
'111': Neoceratium breve
'112': Neoceratium candelabrum
'113': Neoceratium contortum
'114': Neoceratium declinatum
'115': Neoceratium extensum
'116': Neoceratium furca_Neoceratium
'117': Neoceratium fusus_Neoceratium
'118': Neoceratium geniculatum
'119': Neoceratium gravidum
'120': Neoceratium hexacanthum
'121': Neoceratium incisum
'122': Neoceratium limulus
'123': Neoceratium lineatum
'124': Neoceratium macroceros
'125': Neoceratium massiliense
'126': Neoceratium paradoxides
'127': Neoceratium pentagonum
'128': Neoceratium petersii
'129': Neoceratium platycorne
'130': Neoceratium praeolongum
'131': Neoceratium pulchellum
'132': Neoceratium ranipes
'133': Neoceratium symmetricum
'134': Neoceratium teres
'135': Neoceratium trichoceros
'136': Octactis
'137': Odontella mobiliensis
'138': Odontella sinensis_Odontella
'139': Odontella_Mediophyceae
'140': Oikopleuridae
'141': Oithonidae
'142': Oncaeidae
'143': Ornithocercus
'144': Ornithocercus magnificus_Ornithocercus
'145': Ornithocercus quadratus_Ornithocercus
'146': Ornithocercus splendidus
'147': Ornithocercus steinii
'148': Ostracoda
'149': Oxytoxum
'150': Parafavella
'151': Parundella_Xystonellidae
'152': Pediastrum
'153': Penilia
'154': Phaeocystis
'155': Phaeodaria
'156': Phalacroma
'157': Plagiacanthidae
'158': Planktoniella sol
'159': Pleurosigmataceae
'160': Podolampas bipes
'161': Podolampas_Podolampadaceae_Peridiniales_Dinophyceae
'162': Porifera spicule
'163': Proboscia
'164': Proplectella
'165': Protoperidinium
'166': Pseudo-Nitzschia chain
'167': Pseudosolenia
'168': Pterosperma
'169': Pyrocystis
'170': Pyrocystis fusiformis
'171': Pyrocystis hamulus
'172': Pyrocystis lunula
'173': Pyrocystis noctiluca
'174': Pyrophacus
'175': Rhabdonella
'176': Rhabdonellopsis
'177': Rhizaria
'178': Rhizosolenia
'179': Rhizosolenia bergonii
'180': Rhizosolenia inter. Richelia
'181': Rotifera
'182': Salpingella_Tintinnidiidae
'183': Scyphosphaera apsteinii
'184': Skeletonema
'185': Spongodiscidae
'186': Spumellaria
'187': Steenstrupiella
'188': Sticholonche
'189': Striatella
'190': Temora
'191': Thalassionematales
'192': Thalassiosirales
'193': Tiarina
'194': Tintinnina
'195': Tintinnopsis
'196': Triceratium
'197': Trichodesmium
'198': Trigonium
'199': Tripos arcticus
'200': Triposolenia_Amphisoleniaceae_Dinophysiales
'201': Undellidae
'202': Xystonella
'203': Xystonellidae
'204': Xystonellopsis
'205': Xystonellopsis paradoxa
'206': Zoothamniidae
'207': aggregate_Radiolaria
'208': aggregates
'209': artefact
'210': badfocus_artefact
'211': badfocus_other
'212': bipinnaria
'213': bubble
'214': copepoda-cut
'215': cristal
'216': crumple sphere
'217': cylindrotheca_nitzschia
'218': dactyliosolen guinardia mix
'219': dark_detritus
'220': dark_sphere
'221': detritus
'222': dry
'223': echinopluteus
'224': egg sac_egg
'225': egg_other
'226': fecal pellets
'227': fiber_detritus
'228': fiber_plastic
'229': frustule
'230': ghost
'231': head_Appendicularia
'232': larvae_Annelida
'233': larvae_Gastropoda
'234': light_detritus
'235': molt
'236': moving
'237': multiple bacillariophyceae
'238': multiple_other
'239': nauplii_Cirripedia
'240': nauplii_Copepoda
'241': nauplii_Temora
'242': neoceratium falcatum inflatum mix
'243': neoceratium gibberum concilians mix
'244': ophiopluteus
'245': other_living
'246': othertocheck
'247': part_Crustacea
'248': part_Ctenophora
'249': part_Neoceratium
'250': polar view
'251': pollen
'252': puff
'253': rods_othertocheck
'254': sand
'255': seaweed
'256': setae_Chaetoceros
'257': sphere_detritus
'258': stellate hairs
'259': tail_Appendicularia
'260': ushape
'261': veliger_Mollusca
'262': zoea_Decapoda
splits:
- name: train
num_bytes: 1022112797
num_examples: 179720
download_size: 1772905652
dataset_size: 1022112797
description: >
Plankton was imaged with the PlanktoScope in different oceanic regions using
different nets and protocol of
conservation. This dataset aims to serve as reference for taxonomic
identification with the PlanktoScope
across 256 plankton taxa from 20µm to 300µm. Reference dataset can also
serve as learning set for prediction
in Ecotaxa (https://ecotaxa.obs-vlfr.fr/prj/15535).
The full images were processed and segmented with the PlanktoScope around
each individual. A set of associated
features were measured on the objects with skimage.measure. All objects were
classified into 256 different
classes using the web application EcoTaxa (http://ecotaxa.obs-vlfr.fr). The
following dataset corresponds to
the 169, 149 objects and their calculated features. The different files
provide information about the features
of the objects, their taxonomic identification as well as the raw images.
dataset_name: 'PlanktoScope_reference : plankton images captured with the PlanktoScope'
citation: |
@article{dataset:planktoscope,
title = {PlanktoScope_reference : plankton images captured with the PlanktoScope},
author = {Zaccomer, Hugo and Biteye, Amadou and Caudan, Corentin and Finet,
Thomas and Leblanc, Karine and Le Bris, Caroline and Le Gall,
Florence and Legeay, Erwan and Marques, Virginie and Moirand,
Laurine and Oddone, Anna and Persat, Romain and Portefin, Emilie
and Rigaut-Jalabert, Fabienne and Thueux, Manon and de Vargas,
Colomban and Vigneron, Mathilde and Vogt, Meike and Weymiens,
Lucien and Lombard, Fabien},
year = 2025,
journal = {SEANOE},
doi = {10.17882/110078},
affiliation = {CNRS, Laboratoire d'Océanographie de Villefranche (LOV), Sorbonne Université, Villefranche-sur-Mer, France.
IRD, Univ Brest, Ifremer, CNRS, LEMAR, 29280, Plouzané, France. Volontaire Officier Aspirant de la Marine Nationale, France.
Institut de l'Océan de l'Alliance Sorbonne Université, Sorbonne Université, 75005 Paris, France. School of Environmental
Sciences, University of East Anglia, Norwich, NR4 7TJ, UK. Aix-Marseille Université, Université de Toulon, CNRS, IRD, MIO
UM110, Marseille, France. Sorbonne Université, CNRS, UMR7144 AD2M, ECOMAP, Station Biologique de Roscoff, 29680 Roscoff, France.
Unit of Land Change Science, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland. Ecosystem and Landscape Evolution,
Institute of Terrestrial Ecosystems, Department of Environmental Systems Science, ETH Zürich, Zurich, Switzerland. Plankton
Planet Non-Governmental Organization (NGO), Station Biologique de Roscoff, 29680 Roscoff, France. Sorbonne Université, CNRS,
FR2424, Station Biologique de Roscoff, 29680 Roscoff, France. Sorbonne Université, CNRS, Laboratoire d'Écogéochimie des
Environnements Benthiques (LECOB), Observatoire Océanologique de Banyuls, France. Research Federation for the study of Global
Ocean Systems Ecology and Evolution, FR2022 Tara GOSEE, F-75016 Paris, France. MARBEC, Univ Montpellier, CNRS, Ifremer, IRD,
Montpellier, France. Environmental Physics, Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, 8092 Zürich, Switzerland.}
}
homepage: https://www.seanoe.org/data/00989/110078/
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_description: >
Plankton was imaged with the PlanktoScope in different oceanic regions using
different nets and protocol of
conservation. This dataset aims to serve as reference for taxonomic
identification with the PlanktoScope
across 256 plankton taxa from 20µm to 300µm. Reference dataset can also serve
as learning set for prediction
in Ecotaxa (https://ecotaxa.obs-vlfr.fr/prj/15535).
The full images were processed and segmented with the PlanktoScope around each
individual. A set of associated
features were measured on the objects with skimage.measure. All objects were
classified into 256 different
classes using the web application EcoTaxa (http://ecotaxa.obs-vlfr.fr). The
following dataset corresponds to
the 169, 149 objects and their calculated features. The different files
provide information about the features
of the objects, their taxonomic identification as well as the raw images.
source_url: https://www.seanoe.org/data/00989/110078/
citation_bibtex: |
@article{dataset:planktoscope,
title = {PlanktoScope_reference : plankton images captured with the PlanktoScope},
author = {Zaccomer, Hugo and Biteye, Amadou and Caudan, Corentin and Finet,
Thomas and Leblanc, Karine and Le Bris, Caroline and Le Gall,
Florence and Legeay, Erwan and Marques, Virginie and Moirand,
Laurine and Oddone, Anna and Persat, Romain and Portefin, Emilie
and Rigaut-Jalabert, Fabienne and Thueux, Manon and de Vargas,
Colomban and Vigneron, Mathilde and Vogt, Meike and Weymiens,
Lucien and Lombard, Fabien},
year = 2025,
journal = {SEANOE},
doi = {10.17882/110078},
affiliation = {CNRS, Laboratoire d'Océanographie de Villefranche (LOV), Sorbonne Université, Villefranche-sur-Mer, France.
IRD, Univ Brest, Ifremer, CNRS, LEMAR, 29280, Plouzané, France. Volontaire Officier Aspirant de la Marine Nationale, France.
Institut de l'Océan de l'Alliance Sorbonne Université, Sorbonne Université, 75005 Paris, France. School of Environmental
Sciences, University of East Anglia, Norwich, NR4 7TJ, UK. Aix-Marseille Université, Université de Toulon, CNRS, IRD, MIO
UM110, Marseille, France. Sorbonne Université, CNRS, UMR7144 AD2M, ECOMAP, Station Biologique de Roscoff, 29680 Roscoff, France.
Unit of Land Change Science, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland. Ecosystem and Landscape Evolution,
Institute of Terrestrial Ecosystems, Department of Environmental Systems Science, ETH Zürich, Zurich, Switzerland. Plankton
Planet Non-Governmental Organization (NGO), Station Biologique de Roscoff, 29680 Roscoff, France. Sorbonne Université, CNRS,
FR2424, Station Biologique de Roscoff, 29680 Roscoff, France. Sorbonne Université, CNRS, Laboratoire d'Écogéochimie des
Environnements Benthiques (LECOB), Observatoire Océanologique de Banyuls, France. Research Federation for the study of Global
Ocean Systems Ecology and Evolution, FR2022 Tara GOSEE, F-75016 Paris, France. MARBEC, Univ Montpellier, CNRS, Ifremer, IRD,
Montpellier, France. Environmental Physics, Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, 8092 Zürich, Switzerland.}
}
citation_apa: >
Zaccomer Hugo, Biteye Amadou, Caudan Corentin, Finet Thomas, Leblanc Karine,
Le Bris Caroline, Le Gall Florence,
Legeay Erwan, Marques Virginie, Moirand Laurine, Oddone Anna, Persat Romain,
Portefin Emilie, Rigaut-Jalabert Fabienne,
Thueux Manon, de Vargas Colomban, Vigneron Mathilde, Vogt Meike, Weymiens
Lucien, Lombard Fabien (2025).
PlanktoScope_reference : plankton images captured with the PlanktoScope.
SEANOE. https://doi.org/10.17882/110078
hf_dataset_name: planktoscope
hf_org_name: project-oceania
report_markdown: >
**Samples per class for split `train`**
```─────────────────────── Label histogram for train split ───────────────────────
0: Acantharea ▇ 300.00
1: Acantharia ▇▇▇▇▇▇▇▇ 3515.00
2: Acartiidae 67.00
3: Actinommidae 72.00
4: Amphibelone ▇ 369.00
5: Amphisolenia 55.00
6: Amphorellopsis 53.00
7: Amphorides_Tintinnidiidae ▇ 610.00
8: Appendicularia 60.00
9: Asterionella 21.00
10: Asterionellopsis ▇▇▇▇ 1595.00
11: Asterolamprales 103.00
12: Bacillaria ▇ 420.00
13: Bacillariophyceae ▇▇▇▇▇ 2291.00
14: Bacteriastrum_Chaetocerotales ▇▇▇▇▇ 2322.00
15: Bacteriastrum_Mediophyceae 26.00
16: Bellerochea 32.00
17: Biddulphia 3.00
18: Bivalvia_Mollusca 153.00
19: Bleakeleya 3.00
20: Bleakeleya notata 132.00
21: Calanoida ▇▇▇▇▇▇▇▇ 3370.00
22: Callimitra 5.00
23: Calocalanus 70.00
24: Centropages 12.00
25: Centropagidae 68.00
26: Cerataulina 44.00
27: Ceratocorys 13.00
28: Ceratocorys horrida ▇▇ 745.00
29: Chaetoceros affinis 167.00
30: Chaetoceros dadayi ▇ 497.00
31: Chaetoceros danicus ▇ 364.00
32: Chaetoceros inter epibiont 7.00
33: Chaetoceros peruvianus ▇▇▇▇▇ 1980.00
34: Chaetoceros_Mediophyceae ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
6776.00
35: Chaetognatha 9.00
36: Challengeron 2.00
37: Ciliophora 30.00
38: Cladopyxis 25.00
39: Climacocylis ▇ 591.00
40: Climacodium ▇▇ 891.00
41: Climacosphenia 163.00
42: Coccodiscidae 125.00
43: Codonaria 16.00
44: Codonella 151.00
45: Codonella amphorella 1.00
46: Codonellopsis orthoceras 33.00
47: Codonellopsis_Tintinnidiidae ▇ 323.00
48: Collozoum 9.00
49: Copepoda_Maxillopoda ▇▇▇▇▇▇ 2428.00
50: Corethron ▇▇▇ 1262.00
51: Corycaeidae ▇ 366.00
52: Corythodinium 6.00
53: Corythodinium constrictum 16.00
54: Corythodinium tesselatum 1.00
55: Coscinodiscophycidae ▇▇▇▇ 1872.00
56: Cyanobacteria_Bacteria ▇▇ 1013.00
57: Cystidium ▇ 240.00
58: Cyttarocylis 71.00
59: Dadayiella ▇▇ 738.00
60: Dictyocha ▇▇ 755.00
61: Dictyocysta ▇▇ 782.00
62: Dinophyceae ▇▇▇▇ 1695.00
63: Dinophysis ▇ 219.00
64: Dinophysis caudata_Dinophysis 120.00
65: Dinophysis tripos 28.00
66: Ditylum ▇▇▇▇ 1823.00
67: Doliolida 1.00
68: Entomoneis 23.00
69: Epicancella 1.00
70: Epiplocylis ▇ 449.00
71: Ethmodiscus gazellae 69.00
72: Eucampia 6.00
73: Eucampia cornuta 32.00
74: Euphysetta 4.00
75: Euterpina 193.00
76: Eutintinnus ▇▇▇▇▇ 1923.00
77: Evadne 1.00
78: Favella ▇▇ 645.00
79: Foraminifera ▇ 375.00
80: Fragilariaceae 64.00
81: Fritillariidae 19.00
82: Gastropoda_Mollusca ▇ 608.00
83: Gossleriella 12.00
84: Guinardia flaccida ▇ 252.00
85: Gyrodinium 3.00
86: Halosphaera ▇ 599.00
87: Harpacticoida 144.00
88: Helicotheca tamesis ▇▇ 796.00
89: Hemiaulus ▇▇▇▇▇▇ 2380.00
90: Hemidiscus ▇ 217.00
91: Isthmia 24.00
92: Lauderia ▇ 420.00
93: Leprotintinnus 123.00
94: Leptocylindrus ▇▇ 676.00
95: Leptocylindrus mediterraneus 78.00
96: Licmophora 202.00
97: Lioloma 11.00
98: Lithodesmium ▇ 221.00
99: Lithoptera 4.00
100: Mastogloia 81.00
101: Mediopyxis 19.00
102: Microsetella ▇ 275.00
103: Nassellaria_Polycystinea ▇▇ 763.00
104: Naviculales ▇▇ 685.00
105: Nematoda 21.00
106: Neocalyptrella 12.00
107: Neoceratium ▇▇▇▇▇▇▇▇▇▇▇▇▇ 5395.00
108: Neoceratium arietinum 138.00
109: Neoceratium azoricum ▇ 486.00
110: Neoceratium belone 12.00
111: Neoceratium breve ▇ 251.00
112: Neoceratium candelabrum ▇▇ 865.00
113: Neoceratium contortum ▇ 263.00
114: Neoceratium declinatum 97.00
115: Neoceratium extensum 16.00
116: Neoceratium furca_Neoceratium ▇▇▇▇ 1753.00
117: Neoceratium fusus_Neoceratium ▇▇▇▇▇▇▇▇▇ 3787.00
118: Neoceratium geniculatum 2.00
119: Neoceratium gravidum 2.00
120: Neoceratium hexacanthum 33.00
121: Neoceratium incisum 3.00
122: Neoceratium limulus 28.00
123: Neoceratium lineatum ▇ 286.00
124: Neoceratium macroceros ▇ 341.00
125: Neoceratium massiliense 136.00
126: Neoceratium paradoxides 2.00
127: Neoceratium pentagonum ▇ 325.00
128: Neoceratium petersii 44.00
129: Neoceratium platycorne 101.00
130: Neoceratium praeolongum 2.00
131: Neoceratium pulchellum ▇▇ 802.00
132: Neoceratium ranipes 3.00
133: Neoceratium symmetricum 20.00
134: Neoceratium teres ▇▇▇ 1167.00
135: Neoceratium trichoceros ▇▇ 747.00
136: Octactis 30.00
137: Odontella mobiliensis 191.00
138: Odontella sinensis_Odontella ▇ 463.00
139: Odontella_Mediophyceae ▇▇▇ 1415.00
140: Oikopleuridae ▇▇ 751.00
141: Oithonidae ▇▇▇▇▇▇▇▇▇ 3625.00
142: Oncaeidae ▇▇ 950.00
143: Ornithocercus ▇ 521.00
144: Ornithocercus magnificus_Ornithocercus 149.00
145: Ornithocercus quadratus_Ornithocercus 30.00
146: Ornithocercus splendidus 2.00
147: Ornithocercus steinii 67.00
148: Ostracoda 8.00
149: Oxytoxum 9.00
150: Parafavella 98.00
151: Parundella_Xystonellidae ▇ 258.00
152: Pediastrum 3.00
153: Penilia 4.00
154: Phaeocystis ▇▇▇ 1478.00
155: Phaeodaria 36.00
156: Phalacroma 71.00
157: Plagiacanthidae ▇ 242.00
158: Planktoniella sol ▇ 457.00
159: Pleurosigmataceae ▇▇ 853.00
160: Podolampas bipes 52.00
161: Podolampas_Podolampadaceae_Peridiniales_Dinophyceae 131.00
162: Porifera spicule 31.00
163: Proboscia ▇▇ 938.00
164: Proplectella ▇ 333.00
165: Protoperidinium ▇▇▇▇▇▇▇ 2805.00
166: Pseudo-Nitzschia chain ▇▇▇▇▇ 2212.00
167: Pseudosolenia ▇ 614.00
168: Pterosperma 34.00
169: Pyrocystis 5.00
170: Pyrocystis fusiformis 45.00
171: Pyrocystis hamulus 5.00
172: Pyrocystis lunula 56.00
173: Pyrocystis noctiluca 77.00
174: Pyrophacus ▇▇▇ 1156.00
175: Rhabdonella ▇▇▇▇▇▇ 2423.00
176: Rhabdonellopsis ▇▇▇ 1430.00
177: Rhizaria 173.00
178: Rhizosolenia ▇▇▇▇▇▇▇▇▇ 3655.00
179: Rhizosolenia bergonii ▇▇ 659.00
180: Rhizosolenia inter. Richelia ▇ 367.00
181: Rotifera 7.00
182: Salpingella_Tintinnidiidae ▇▇ 698.00
183: Scyphosphaera apsteinii 82.00
184: Skeletonema 18.00
185: Spongodiscidae 27.00
186: Spumellaria 145.00
187: Steenstrupiella ▇▇▇ 1109.00
188: Sticholonche ▇ 248.00
189: Striatella 194.00
190: Temora 25.00
191: Thalassionematales ▇▇▇▇▇▇▇▇▇▇▇ 4482.00
192: Thalassiosirales ▇ 366.00
193: Tiarina 183.00
194: Tintinnina ▇▇▇ 1133.00
195: Tintinnopsis 16.00
196: Triceratium ▇ 476.00
197: Trichodesmium ▇▇▇▇▇▇▇▇▇ 4008.00
198: Trigonium 40.00
199: Tripos arcticus ▇▇ 1010.00
200: Triposolenia_Amphisoleniaceae_Dinophysiales 3.00
201: Undellidae 196.00
202: Xystonella ▇▇ 642.00
203: Xystonellidae 109.00
204: Xystonellopsis 27.00
205: Xystonellopsis paradoxa 5.00
206: Zoothamniidae 39.00
207: aggregate_Radiolaria ▇ 241.00
208: aggregates ▇▇▇▇▇▇ 2453.00
209: artefact ▇▇▇ 1147.00
210: badfocus_artefact ▇ 345.00
211: badfocus_other ▇▇▇▇ 1619.00
212: bipinnaria 26.00
213: bubble ▇▇▇ 1257.00
214: copepoda-cut ▇▇▇▇▇▇▇▇▇ 3658.00
215: cristal ▇ 214.00
216: crumple sphere ▇ 392.00
217: cylindrotheca_nitzschia ▇▇ 735.00
218: dactyliosolen guinardia mix ▇▇▇▇▇▇ 2354.00
219: dark_detritus ▇▇▇▇ 1536.00
220: dark_sphere 56.00
221: detritus ▇▇▇▇▇▇▇▇▇ 3657.00
222: dry ▇▇▇▇▇▇▇▇▇ 3755.00
223: echinopluteus 14.00
224: egg sac_egg ▇▇ 658.00
225: egg_other ▇▇▇▇ 1502.00
226: fecal pellets ▇▇▇ 1211.00
227: fiber_detritus ▇ 525.00
228: fiber_plastic ▇▇ 851.00
229: frustule ▇ 492.00
230: ghost ▇▇▇▇▇▇▇▇ 3451.00
231: head_Appendicularia 15.00
232: larvae_Annelida ▇▇ 638.00
233: larvae_Gastropoda 45.00
234: light_detritus ▇▇▇▇▇▇▇▇▇▇ 4397.00
235: molt ▇▇▇▇▇▇ 2467.00
236: moving 151.00
237: multiple bacillariophyceae ▇▇▇▇▇▇ 2619.00
238: multiple_other ▇▇▇▇▇▇ 2541.00
239: nauplii_Cirripedia 50.00
240: nauplii_Copepoda ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
6543.00
241: nauplii_Temora 169.00
242: neoceratium falcatum inflatum mix 47.00
243: neoceratium gibberum concilians mix 174.00
244: ophiopluteus 6.00
245: other_living 89.00
246: othertocheck ▇ 365.00
247: part_Crustacea ▇▇▇▇▇▇▇▇ 3381.00
248: part_Ctenophora 17.00
249: part_Neoceratium 49.00
250: polar view 181.00
251: pollen ▇▇ 891.00
252: puff 161.00
253: rods_othertocheck ▇▇▇▇▇▇▇▇▇▇▇▇ 5164.00
254: sand 30.00
255: seaweed ▇ 227.00
256: setae_Chaetoceros ▇ 368.00
257: sphere_detritus ▇ 371.00
258: stellate hairs 7.00
259: tail_Appendicularia 179.00
260: ushape ▇ 295.00
261: veliger_Mollusca 71.00
262: zoea_Decapoda 1.00
```
dataset_means: '[0.9123024495403894, 0.9077928195919508, 0.9015994790055718]'
dataset_stds: '[0.1536084879509333, 0.1642216987925351, 0.17583867183751614]'
Dataset PlanktoScope_reference : plankton images captured with the PlanktoScope
Plankton was imaged with the PlanktoScope in different oceanic regions using different nets and protocol of conservation. This dataset aims to serve as reference for taxonomic identification with the PlanktoScope across 256 plankton taxa from 20µm to 300µm. Reference dataset can also serve as learning set for prediction in Ecotaxa (https://ecotaxa.obs-vlfr.fr/prj/15535).
The full images were processed and segmented with the PlanktoScope around each individual. A set of associated features were measured on the objects with skimage.measure. All objects were classified into 256 different classes using the web application EcoTaxa (http://ecotaxa.obs-vlfr.fr). The following dataset corresponds to the 169, 149 objects and their calculated features. The different files provide information about the features of the objects, their taxonomic identification as well as the raw images.
- Original dataset available online at: https://www.seanoe.org/data/00989/110078/.
- Original dataset license: <cc-by-nc-4.0>.
Details
- train split means (RGB): [0.9123024495403894, 0.9077928195919508, 0.9015994790055718]
- train split standard deviations (RGB): [0.1536084879509333, 0.1642216987925351, 0.17583867183751614]
Samples per class for split train
0: Acantharea ▇ 300.00
1: Acantharia ▇▇▇▇▇▇▇▇ 3515.00
2: Acartiidae 67.00
3: Actinommidae 72.00
4: Amphibelone ▇ 369.00
5: Amphisolenia 55.00
6: Amphorellopsis 53.00
7: Amphorides_Tintinnidiidae ▇ 610.00
8: Appendicularia 60.00
9: Asterionella 21.00
10: Asterionellopsis ▇▇▇▇ 1595.00
11: Asterolamprales 103.00
12: Bacillaria ▇ 420.00
13: Bacillariophyceae ▇▇▇▇▇ 2291.00
14: Bacteriastrum_Chaetocerotales ▇▇▇▇▇ 2322.00
15: Bacteriastrum_Mediophyceae 26.00
16: Bellerochea 32.00
17: Biddulphia 3.00
18: Bivalvia_Mollusca 153.00
19: Bleakeleya 3.00
20: Bleakeleya notata 132.00
21: Calanoida ▇▇▇▇▇▇▇▇ 3370.00
22: Callimitra 5.00
23: Calocalanus 70.00
24: Centropages 12.00
25: Centropagidae 68.00
26: Cerataulina 44.00
27: Ceratocorys 13.00
28: Ceratocorys horrida ▇▇ 745.00
29: Chaetoceros affinis 167.00
30: Chaetoceros dadayi ▇ 497.00
31: Chaetoceros danicus ▇ 364.00
32: Chaetoceros inter epibiont 7.00
33: Chaetoceros peruvianus ▇▇▇▇▇ 1980.00
34: Chaetoceros_Mediophyceae ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 6776.00
35: Chaetognatha 9.00
36: Challengeron 2.00
37: Ciliophora 30.00
38: Cladopyxis 25.00
39: Climacocylis ▇ 591.00
40: Climacodium ▇▇ 891.00
41: Climacosphenia 163.00
42: Coccodiscidae 125.00
43: Codonaria 16.00
44: Codonella 151.00
45: Codonella amphorella 1.00
46: Codonellopsis orthoceras 33.00
47: Codonellopsis_Tintinnidiidae ▇ 323.00
48: Collozoum 9.00
49: Copepoda_Maxillopoda ▇▇▇▇▇▇ 2428.00
50: Corethron ▇▇▇ 1262.00
51: Corycaeidae ▇ 366.00
52: Corythodinium 6.00
53: Corythodinium constrictum 16.00
54: Corythodinium tesselatum 1.00
55: Coscinodiscophycidae ▇▇▇▇ 1872.00
56: Cyanobacteria_Bacteria ▇▇ 1013.00
57: Cystidium ▇ 240.00
58: Cyttarocylis 71.00
59: Dadayiella ▇▇ 738.00
60: Dictyocha ▇▇ 755.00
61: Dictyocysta ▇▇ 782.00
62: Dinophyceae ▇▇▇▇ 1695.00
63: Dinophysis ▇ 219.00
64: Dinophysis caudata_Dinophysis 120.00
65: Dinophysis tripos 28.00
66: Ditylum ▇▇▇▇ 1823.00
67: Doliolida 1.00
68: Entomoneis 23.00
69: Epicancella 1.00
70: Epiplocylis ▇ 449.00
71: Ethmodiscus gazellae 69.00
72: Eucampia 6.00
73: Eucampia cornuta 32.00
74: Euphysetta 4.00
75: Euterpina 193.00
76: Eutintinnus ▇▇▇▇▇ 1923.00
77: Evadne 1.00
78: Favella ▇▇ 645.00
79: Foraminifera ▇ 375.00
80: Fragilariaceae 64.00
81: Fritillariidae 19.00
82: Gastropoda_Mollusca ▇ 608.00
83: Gossleriella 12.00
84: Guinardia flaccida ▇ 252.00
85: Gyrodinium 3.00
86: Halosphaera ▇ 599.00
87: Harpacticoida 144.00
88: Helicotheca tamesis ▇▇ 796.00
89: Hemiaulus ▇▇▇▇▇▇ 2380.00
90: Hemidiscus ▇ 217.00
91: Isthmia 24.00
92: Lauderia ▇ 420.00
93: Leprotintinnus 123.00
94: Leptocylindrus ▇▇ 676.00
95: Leptocylindrus mediterraneus 78.00
96: Licmophora 202.00
97: Lioloma 11.00
98: Lithodesmium ▇ 221.00
99: Lithoptera 4.00
100: Mastogloia 81.00
101: Mediopyxis 19.00
102: Microsetella ▇ 275.00
103: Nassellaria_Polycystinea ▇▇ 763.00
104: Naviculales ▇▇ 685.00
105: Nematoda 21.00
106: Neocalyptrella 12.00
107: Neoceratium ▇▇▇▇▇▇▇▇▇▇▇▇▇ 5395.00
108: Neoceratium arietinum 138.00
109: Neoceratium azoricum ▇ 486.00
110: Neoceratium belone 12.00
111: Neoceratium breve ▇ 251.00
112: Neoceratium candelabrum ▇▇ 865.00
113: Neoceratium contortum ▇ 263.00
114: Neoceratium declinatum 97.00
115: Neoceratium extensum 16.00
116: Neoceratium furca_Neoceratium ▇▇▇▇ 1753.00
117: Neoceratium fusus_Neoceratium ▇▇▇▇▇▇▇▇▇ 3787.00
118: Neoceratium geniculatum 2.00
119: Neoceratium gravidum 2.00
120: Neoceratium hexacanthum 33.00
121: Neoceratium incisum 3.00
122: Neoceratium limulus 28.00
123: Neoceratium lineatum ▇ 286.00
124: Neoceratium macroceros ▇ 341.00
125: Neoceratium massiliense 136.00
126: Neoceratium paradoxides 2.00
127: Neoceratium pentagonum ▇ 325.00
128: Neoceratium petersii 44.00
129: Neoceratium platycorne 101.00
130: Neoceratium praeolongum 2.00
131: Neoceratium pulchellum ▇▇ 802.00
132: Neoceratium ranipes 3.00
133: Neoceratium symmetricum 20.00
134: Neoceratium teres ▇▇▇ 1167.00
135: Neoceratium trichoceros ▇▇ 747.00
136: Octactis 30.00
137: Odontella mobiliensis 191.00
138: Odontella sinensis_Odontella ▇ 463.00
139: Odontella_Mediophyceae ▇▇▇ 1415.00
140: Oikopleuridae ▇▇ 751.00
141: Oithonidae ▇▇▇▇▇▇▇▇▇ 3625.00
142: Oncaeidae ▇▇ 950.00
143: Ornithocercus ▇ 521.00
144: Ornithocercus magnificus_Ornithocercus 149.00
145: Ornithocercus quadratus_Ornithocercus 30.00
146: Ornithocercus splendidus 2.00
147: Ornithocercus steinii 67.00
148: Ostracoda 8.00
149: Oxytoxum 9.00
150: Parafavella 98.00
151: Parundella_Xystonellidae ▇ 258.00
152: Pediastrum 3.00
153: Penilia 4.00
154: Phaeocystis ▇▇▇ 1478.00
155: Phaeodaria 36.00
156: Phalacroma 71.00
157: Plagiacanthidae ▇ 242.00
158: Planktoniella sol ▇ 457.00
159: Pleurosigmataceae ▇▇ 853.00
160: Podolampas bipes 52.00
161: Podolampas_Podolampadaceae_Peridiniales_Dinophyceae 131.00
162: Porifera spicule 31.00
163: Proboscia ▇▇ 938.00
164: Proplectella ▇ 333.00
165: Protoperidinium ▇▇▇▇▇▇▇ 2805.00
166: Pseudo-Nitzschia chain ▇▇▇▇▇ 2212.00
167: Pseudosolenia ▇ 614.00
168: Pterosperma 34.00
169: Pyrocystis 5.00
170: Pyrocystis fusiformis 45.00
171: Pyrocystis hamulus 5.00
172: Pyrocystis lunula 56.00
173: Pyrocystis noctiluca 77.00
174: Pyrophacus ▇▇▇ 1156.00
175: Rhabdonella ▇▇▇▇▇▇ 2423.00
176: Rhabdonellopsis ▇▇▇ 1430.00
177: Rhizaria 173.00
178: Rhizosolenia ▇▇▇▇▇▇▇▇▇ 3655.00
179: Rhizosolenia bergonii ▇▇ 659.00
180: Rhizosolenia inter. Richelia ▇ 367.00
181: Rotifera 7.00
182: Salpingella_Tintinnidiidae ▇▇ 698.00
183: Scyphosphaera apsteinii 82.00
184: Skeletonema 18.00
185: Spongodiscidae 27.00
186: Spumellaria 145.00
187: Steenstrupiella ▇▇▇ 1109.00
188: Sticholonche ▇ 248.00
189: Striatella 194.00
190: Temora 25.00
191: Thalassionematales ▇▇▇▇▇▇▇▇▇▇▇ 4482.00
192: Thalassiosirales ▇ 366.00
193: Tiarina 183.00
194: Tintinnina ▇▇▇ 1133.00
195: Tintinnopsis 16.00
196: Triceratium ▇ 476.00
197: Trichodesmium ▇▇▇▇▇▇▇▇▇ 4008.00
198: Trigonium 40.00
199: Tripos arcticus ▇▇ 1010.00
200: Triposolenia_Amphisoleniaceae_Dinophysiales 3.00
201: Undellidae 196.00
202: Xystonella ▇▇ 642.00
203: Xystonellidae 109.00
204: Xystonellopsis 27.00
205: Xystonellopsis paradoxa 5.00
206: Zoothamniidae 39.00
207: aggregate_Radiolaria ▇ 241.00
208: aggregates ▇▇▇▇▇▇ 2453.00
209: artefact ▇▇▇ 1147.00
210: badfocus_artefact ▇ 345.00
211: badfocus_other ▇▇▇▇ 1619.00
212: bipinnaria 26.00
213: bubble ▇▇▇ 1257.00
214: copepoda-cut ▇▇▇▇▇▇▇▇▇ 3658.00
215: cristal ▇ 214.00
216: crumple sphere ▇ 392.00
217: cylindrotheca_nitzschia ▇▇ 735.00
218: dactyliosolen guinardia mix ▇▇▇▇▇▇ 2354.00
219: dark_detritus ▇▇▇▇ 1536.00
220: dark_sphere 56.00
221: detritus ▇▇▇▇▇▇▇▇▇ 3657.00
222: dry ▇▇▇▇▇▇▇▇▇ 3755.00
223: echinopluteus 14.00
224: egg sac_egg ▇▇ 658.00
225: egg_other ▇▇▇▇ 1502.00
226: fecal pellets ▇▇▇ 1211.00
227: fiber_detritus ▇ 525.00
228: fiber_plastic ▇▇ 851.00
229: frustule ▇ 492.00
230: ghost ▇▇▇▇▇▇▇▇ 3451.00
231: head_Appendicularia 15.00
232: larvae_Annelida ▇▇ 638.00
233: larvae_Gastropoda 45.00
234: light_detritus ▇▇▇▇▇▇▇▇▇▇ 4397.00
235: molt ▇▇▇▇▇▇ 2467.00
236: moving 151.00
237: multiple bacillariophyceae ▇▇▇▇▇▇ 2619.00
238: multiple_other ▇▇▇▇▇▇ 2541.00
239: nauplii_Cirripedia 50.00
240: nauplii_Copepoda ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 6543.00
241: nauplii_Temora 169.00
242: neoceratium falcatum inflatum mix 47.00
243: neoceratium gibberum concilians mix 174.00
244: ophiopluteus 6.00
245: other_living 89.00
246: othertocheck ▇ 365.00
247: part_Crustacea ▇▇▇▇▇▇▇▇ 3381.00
248: part_Ctenophora 17.00
249: part_Neoceratium 49.00
250: polar view 181.00
251: pollen ▇▇ 891.00
252: puff 161.00
253: rods_othertocheck ▇▇▇▇▇▇▇▇▇▇▇▇ 5164.00
254: sand 30.00
255: seaweed ▇ 227.00
256: setae_Chaetoceros ▇ 368.00
257: sphere_detritus ▇ 371.00
258: stellate hairs 7.00
259: tail_Appendicularia 179.00
260: ushape ▇ 295.00
261: veliger_Mollusca 71.00
262: zoea_Decapoda 1.00
Reference
Zaccomer Hugo, Biteye Amadou, Caudan Corentin, Finet Thomas, Leblanc Karine, Le Bris Caroline, Le Gall Florence, Legeay Erwan, Marques Virginie, Moirand Laurine, Oddone Anna, Persat Romain, Portefin Emilie, Rigaut-Jalabert Fabienne, Thueux Manon, de Vargas Colomban, Vigneron Mathilde, Vogt Meike, Weymiens Lucien, Lombard Fabien (2025). PlanktoScope_reference : plankton images captured with the PlanktoScope. SEANOE. https://doi.org/10.17882/110078
BibTEX
@article{dataset:planktoscope,
title = {PlanktoScope_reference : plankton images captured with the PlanktoScope},
author = {Zaccomer, Hugo and Biteye, Amadou and Caudan, Corentin and Finet,
Thomas and Leblanc, Karine and Le Bris, Caroline and Le Gall,
Florence and Legeay, Erwan and Marques, Virginie and Moirand,
Laurine and Oddone, Anna and Persat, Romain and Portefin, Emilie
and Rigaut-Jalabert, Fabienne and Thueux, Manon and de Vargas,
Colomban and Vigneron, Mathilde and Vogt, Meike and Weymiens,
Lucien and Lombard, Fabien},
year = 2025,
journal = {SEANOE},
doi = {10.17882/110078},
affiliation = {CNRS, Laboratoire d'Océanographie de Villefranche (LOV), Sorbonne Université, Villefranche-sur-Mer, France.
IRD, Univ Brest, Ifremer, CNRS, LEMAR, 29280, Plouzané, France. Volontaire Officier Aspirant de la Marine Nationale, France.
Institut de l'Océan de l'Alliance Sorbonne Université, Sorbonne Université, 75005 Paris, France. School of Environmental
Sciences, University of East Anglia, Norwich, NR4 7TJ, UK. Aix-Marseille Université, Université de Toulon, CNRS, IRD, MIO
UM110, Marseille, France. Sorbonne Université, CNRS, UMR7144 AD2M, ECOMAP, Station Biologique de Roscoff, 29680 Roscoff, France.
Unit of Land Change Science, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland. Ecosystem and Landscape Evolution,
Institute of Terrestrial Ecosystems, Department of Environmental Systems Science, ETH Zürich, Zurich, Switzerland. Plankton
Planet Non-Governmental Organization (NGO), Station Biologique de Roscoff, 29680 Roscoff, France. Sorbonne Université, CNRS,
FR2424, Station Biologique de Roscoff, 29680 Roscoff, France. Sorbonne Université, CNRS, Laboratoire d'Écogéochimie des
Environnements Benthiques (LECOB), Observatoire Océanologique de Banyuls, France. Research Federation for the study of Global
Ocean Systems Ecology and Evolution, FR2022 Tara GOSEE, F-75016 Paris, France. MARBEC, Univ Montpellier, CNRS, Ifremer, IRD,
Montpellier, France. Environmental Physics, Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, 8092 Zürich, Switzerland.}
}
Usage
from datasets import load_dataset
dataset = load_dataset("project-oceania/planktoscope")