Plankton images datasets
Collection
12 items
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Updated
Datasets:
Dataset MedPlanktonSet - A dataset of labeled IFCB images from the Mediterranean Sea
[More Information Needed]
- Original dataset available online at: https://zenodo.org/records/15471023.
- Original dataset license: <cc-by-nc-4.0>.
Details
- train split means (RGB): [0.6551923469316225]
- train split standard deviations (RGB): [0.08689574482674113]
Samples per class for split train
0: Akashiwo_sanguinea 18.00
1: Alexandrium_spp 21.00
2: Amphidinium_spp 16.00
3: Appendicularia 6.00
4: Asterionellopsis_cf._glacialis ▇▇▇▇▇▇▇▇ 5546.00
5: Asteromphalus_sarcophagus 26.00
6: Asteromphalus_spp 22.00
7: Azadinium_caudatum 5.00
8: Bacteriastrum_spp ▇ 449.00
9: Calciopappus_caudatus 7.00
10: Calciosolenia_brasiliensis ▇ 371.00
11: Centric_diatoms ▇▇▇▇▇ 3098.00
12: Cerataulina_pelagica ▇ 956.00
13: Ceratoperidinium_margalefii 1.00
14: Chaetoceros_anastomonsans 15.00
15: Chaetoceros_curvisetus_Chaetoceros_pseudocurvisetus ▇▇▇ 1690.00
16: Chaetoceros_danicus ▇ 880.00
17: Chaetoceros_decipiens 248.00
18: Chaetoceros_diversus 6.00
19: Chaetoceros_peruvianus ▇ 540.00
20: Chaetoceros_protuberans_Chaetoceros_didymus ▇ 881.00
21: Chaetoceros_socialis 40.00
22: Chaetoceros_spp ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 12695.00
23: Chaetoceros_tortissimus 87.00
24: Chrysochromulina_lanceolata ▇ 670.00
25: Chrysochromulina_parkeae ▇ 445.00
26: Ciliates ▇ 928.00
27: Cladopyxis_cf._brachiolata 1.00
28: Copepod_copepodites 4.00
29: Copepod_eggs 1.00
30: Copepod_nauplii 94.00
31: Corythodinium_constrictum 7.00
32: Corythodinium_milneri 5.00
33: Cryptophyceae ▇▇▇ 2022.00
34: Cylindrotheca_closterium-like ▇ 722.00
35: Dactyliosolen_blavyanus ▇▇ 1101.00
36: Dactyliosolen_fragilissimus 220.00
37: Dictyocha_fibula ▇ 577.00
38: Dictyocysta_spp._Codonaria_spp 18.00
39: Dinobryon_coalescens ▇ 838.00
40: Dinophysis_caudata 24.00
41: Dinophysis_parva 8.00
42: Dinophysis_sacculus 181.00
43: Dinophysis_spp ▇ 443.00
44: Dinophysis_tripos 1.00
45: Discosphaera_tubifera 18.00
46: Eucampia_cornuta ▇▇ 1170.00
47: Euglenophyceae 162.00
48: Gonyaulax_polygramma 8.00
49: Gonyaulax_spp 14.00
50: Guinardia_flaccida 32.00
51: Guinardia_striata_Dactyliosolen_phuketensis ▇▇ 1469.00
52: Gyrodinium_spirale_Gyrodinium_fusiforme 39.00
53: Haslea_silbo ▇▇▇▇ 2492.00
54: Helicotheca_tamesis 4.00
55: Hemiaulus_hauckii_Hemiaulus_sinensis ▇▇▇▇ 2651.00
56: Heterocapsa_niei-like 221.00
57: Kapelodinium_vestifici 103.00
58: Karenia_papilionacea 3.00
59: Karenia_spp 133.00
60: Lauderia_annulata ▇▇ 1475.00
61: Leptocylindrus_spp ▇▇▇▇▇▇ 4087.00
62: Licmophora_spp 31.00
63: Lioloma_pacificum 5.00
64: Lithodesmium_variabile ▇ 456.00
65: Meringosphaera_mediterranea ▇ 698.00
66: Mesodinium_spp ▇▇ 1016.00
67: Naked_dinoflagellates 300.00
68: Neobrightwellia_alternans 8.00
69: Octactis_octonaria 14.00
70: Oltmannsiellopsis_viridis 3.00
71: Ophiaster_spp 14.00
72: Ornithocercus_spp._Histioneis_spp 7.00
73: Oxytoxum_cf._caudatum 23.00
74: Oxytoxum_cf._scolopax 7.00
75: Oxytoxum_cf._variabile 124.00
76: Oxytoxum_spp 12.00
77: Pennate_diatoms ▇ 790.00
78: Phaeocystis_jahnii ▇ 630.00
79: Phalacroma_oxytoxoides 1.00
80: Phalacroma_spp 5.00
81: Plagiotropis_spp 267.00
82: Pleurosigma spp._Gyrosigma_spp 87.00
83: Podolampas_palmipes 1.00
84: Polykrikos_kofoidii 4.00
85: Proboscia_spp._Rhizosolenia_spp ▇▇▇ 1877.00
86: Prorocentrum_cf._gracile 204.00
87: Prorocentrum_redfieldii ▇▇▇ 1694.00
88: Protoceratium_reticulatum 2.00
89: Protoperidinium_cf._divergens 12.00
90: Protoperidinium_diabolus 27.00
91: Pseliodinium_fusus 42.00
92: Pseudo-nitzschia_spp._2_cells ▇▇▇ 1952.00
93: Pseudo-nitzschia_spp._3_cells ▇▇ 1149.00
94: Pseudo-nitzschia_spp._4_cells ▇ 505.00
95: Pseudo-nitzschia_spp._5_cells 132.00
96: Pseudo-nitzschia_spp._6_cells 22.00
97: Pseudo-nitzschia_spp._7_cells 3.00
98: Pseudo-nitzschia_spp._single_cell ▇ 955.00
99: Pseudosolenia_calcar-avis 2.00
100: Pterosperma_spp 12.00
101: Pyramimonas_spp ▇▇ 1383.00
102: Pyrocystis_cf._lunula 3.00
103: Pyrophacus_horologium 18.00
104: Radiolaria 86.00
105: Rhabdosphaera_clavigera 146.00
106: Scrippsiella_acuminata_like ▇▇ 1395.00
107: Scyphosphaera_apsteinii 1.00
108: Skeletonema_menzelii ▇ 975.00
109: Skeletonema_pseudocostatum_Skeletonema_tropicum 78.00
110: Sourniaea_diacantha 5.00
111: Syracosphaera_pulchra 291.00
112: Tenuicylindrus_belgicus ▇▇▇ 2221.00
113: Thalassionema_spp ▇▇▇▇ 2945.00
114: Thalassiosira_gravida ▇▇▇▇ 2412.00
115: Thalassiosira_spp ▇ 814.00
116: Tiarina_spp 14.00
117: Tintinnids 196.00
118: Torodinium_spp 79.00
119: Trachymedusae 1.00
120: Trieres_mobiliensis ▇ 631.00
121: Tripos_arietinus 1.00
122: Tripos_azoricus 1.00
123: Tripos_cf._minutus 15.00
124: Tripos_concilians 1.00
125: Tripos_contortus 1.00
126: Tripos_declinatus 2.00
127: Tripos_euarcuatus 1.00
128: Tripos_furca 170.00
129: Tripos_fusus 103.00
130: Tripos_horridus 1.00
131: Tripos_macroceros 1.00
132: Tripos_muelleri-like 16.00
133: Tripos_pentagonus 2.00
134: Tripos_spp 9.00
135: Tripos_symmetricus 1.00
136: Tripos_teres 96.00
137: Umbilicosphaera_sibogae 14.00
138: Warnowia_polyphemus 34.00
Reference
Mente MS & Houliez E, Scalco E., Roselli L., & Sarno D. (2025). MedPlanktonSet - A dataset of labeled IFCB images from the Mediterranean Sea [Data set]. Stazione Zoologica Anton Dohrn. https://doi.org/10.5281/zenodo.15471023
BibTEX
@article{dataset:medplanktonset,
author = {Mente MS \& Houliez E and
Scalco E. and
Roselli L. and
Sarno D.},
title = {MedPlanktonSet - A dataset of labeled IFCB images
from the Mediterranean Sea
},
month = jun,
year = 2025,
publisher = {Stazione Zoologica Anton Dohrn},
doi = {10.5281/zenodo.15471023},
url = {https://doi.org/10.5281/zenodo.15471023},
}
Usage
from datasets import load_dataset
dataset = load_dataset("project-oceania/medplanktonset")
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