Datasets:
Dataset Plankton Dataset
A dataset composed of all publicly available, labeled EcoTaxa datasets
- Original dataset available online at: https://huggingface.co/datasets/project-oceania/ecotaxa_planktonzilla.
- Original dataset license: <cc-by-4.0>.
Details
- train split means (RGB): [0.9169717310850997]
- train split standard deviations (RGB): [0.18149086445559218]
Samples per class for split train
0: ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 1962875.00
1: abylopsis 649.00
2: abylopsis tetragona 3705.00
3: acantharia 2995.00
4: acartiidae ▇▇ 92930.00
5: actiniaria 140.00
6: aglaura hemistoma 3033.00
7: amphibelone 79.00
8: amphipoda 3332.00
9: amphorides 129.00
10: annelida 4534.00
11: appendicularia ▇ 29016.00
12: arthropoda ▇ 45439.00
13: asterolamprales 149.00
14: atlantidae 447.00
15: aulacanthidae 2247.00
16: aulosphaeridae 364.00
17: bacillariophyceae 7127.00
18: bacteriastrum 500.00
19: bassia bassensis 95.00
20: bivalvia 7660.00
21: botrynema 87.00
22: bryozoa 10481.00
23: calanidae ▇ 54062.00
24: calanoida ▇▇▇▇▇▇▇ 362956.00
25: calocalanus 1054.00
26: calocalanus pavo 469.00
27: candaciidae 11947.00
28: cavolinia inflexa 4593.00
29: cavoliniidae 365.00
30: centropagidae ▇ 52133.00
31: ceratocorys 93.00
32: chaetoceros 2435.00
33: chaetoceros peruvianus 125.00
34: chaetognatha ▇ 61313.00
35: chordata 12136.00
36: choreotrichida 473.00
37: chromista ▇ 36630.00
38: ciliophora 260.00
39: cladoceramus 6669.00
40: cladopyxis 81.00
41: climacodium 534.00
42: climacodium crocosphaera 345.00
43: clio pyramidata 5111.00
44: clupeiformes ▇ 49209.00
45: cnidaria 2243.00
46: codonaria 82.00
47: codonellopsis morchella 1205.00
48: coelodendridae 320.00
49: copepoda ▇▇ 82079.00
50: copilia 657.00
51: corycaeidae ▇ 27493.00
52: coscinodiscaceae 4107.00
53: coscinodiscus 7163.00
54: creseis acicula 8774.00
55: crystalia 3770.00
56: ctenophora 2862.00
57: cumacea 515.00
58: cyanobacteria ▇ 43516.00
59: cyanophyceae 736.00
60: cyclopoida ▇▇▇ 139175.00
61: cymbulia peroni 93.00
62: dactyliosolen 81.00
63: decapoda ▇ 33680.00
64: diatoma ▇ 54791.00
65: diatoma tenuis 4515.00
66: dictyocysta 229.00
67: dinophyceae 194.00
68: dinophysis 150.00
69: diphyidae ▇ 73811.00
70: ditylum 2036.00
71: doliolida 16908.00
72: echinodermata 3508.00
73: echinoidea 2406.00
74: epiplocylis 318.00
75: eucalanidae 1216.00
76: euchaeta 4548.00
77: euchaetidae 6790.00
78: euphausiacea 8028.00
79: eurydice 552.00
80: euterpina 6994.00
81: eutintinnus 682.00
82: evadne ▇ 35362.00
83: foraminifera 419.00
84: fragilariopsis 80.00
85: fritillariidae 12132.00
86: galatheidae 5059.00
87: gastropoda 119.00
88: globigerinidae 3126.00
89: gonyaulacales 2733.00
90: guinardia 322.00
91: gymnodiniales 213.00
92: haloptilus 2713.00
93: halosphaera 508.00
94: harpacticoida 1910.00
95: hemiaulus 208.00
96: heterorhabdidae 2364.00
97: hexapoda 1122.00
98: hippopodiidae 108.00
99: hydrozoa 7682.00
100: isias 281.00
101: katagnymene spiralis 102.00
102: lightbournus 18260.00
103: limacinidae 24307.00
104: liriope 224.00
105: luciferidae 650.00
106: luidiidae 110.00
107: malacostraca ▇ 27986.00
108: melosiraceae 5066.00
109: metacylis 86.00
110: metrinidae 2499.00
111: microstellaria 318.00
112: mollusca 3125.00
113: monstrilloida 261.00
114: mysida 2386.00
115: nannosquillidae 81.00
116: narcomedusae 113.00
117: nassellaria 2558.00
118: neoceratium ▇▇ 98970.00
119: nitzschia 167.00
120: noctiluca 20796.00
121: obelia 1523.00
122: odontella 2502.00
123: oikopleuridae ▇ 34391.00
124: oithonidae ▇ 65912.00
125: oncaea 23336.00
126: oncaeidae 20845.00
127: ophiuroidea 3610.00
128: ornithocercus magnificus 234.00
129: ostracoda 8330.00
130: oxytoxum 116.00
131: penaeidae 392.00
132: penilia 398.00
133: penilia avirostris 23945.00
134: pennales 943.00
135: phoronida 94.00
136: phyllodocida 129.00
137: planktoniella sol 1207.00
138: pleuromamma abdominalis 16254.00
139: podolampas 309.00
140: podon 2131.00
141: poeobius 247.00
142: pontellidae 7435.00
143: porcellanidae 5870.00
144: poroecus 370.00
145: protoperidinium 643.00
146: pseudo-nitzschia chain 329.00
147: pteropoda 522.00
148: pyrocystaceae 74.00
149: pyrocystis 2567.00
150: pyrophacus 129.00
151: pyrosomatida 497.00
152: rhabdonella 1088.00
153: rhincalanidae 228.00
154: rhizosolenia richelia 806.00
155: rhopalonema velatum 2484.00
156: rhopalonematidae 423.00
157: richelia 523.00
158: salpida 17200.00
159: salpidae 2373.00
160: salpingella 157.00
161: sapphirinidae 1078.00
162: scyphozoa 1670.00
163: sergestidae 593.00
164: siphonophorae 15745.00
165: solmundella bitentaculata 497.00
166: spumellaria 229.00
167: steenstrupiella 400.00
168: stomatopoda 1629.00
169: swima 236.00
170: temoridae ▇ 44964.00
171: thalassionema 279.00
172: thalassionematales 868.00
173: thaliacea 501.00
174: thecofilosea ▇ 54036.00
175: thecostraca 13980.00
176: tomopteridae 550.00
177: trichodesmium 17609.00
178: tripos 348.00
179: tripos furca 387.00
180: tripos fusus 622.00
181: tripos pentagonus 2620.00
182: undellidae 685.00
183: xystonellidae 356.00
Reference
[More Information Needed]
BibTEX
@misc{ecotaxa_planktonzilla,
author = {Inria Chile},
title = {Ecotaxa planktonzilla dataset},
month = jan,
year = 2026,
version = {1.0.0},
doi = {TBD},
url = {https://huggingface.co/datasets/project-oceania/ecotaxa_planktonzilla},
}
Usage
from datasets import load_dataset
dataset = load_dataset("project-oceania/ecotaxa_planktonzilla")
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