Dataset FlowCAMNet: plankton images captured with the FlowCAM

Plankton was imaged with Flowcam in contrasted oceanic regions. The full images were processed with the ImageJ software and the regions of interest (ROIs) around each individual object were recorded. A set of associated features were measured on the objects. All objects were classified by a limited number of operators into 167 different classes using the web application EcoTaxa (http://ecotaxa.obs-vlfr.fr). The following dataset corresponds to the 301,247 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/00908/101961/.
• Original dataset license: <cc-by-nc-4.0>.

Details

• train split means (RGB): [0.9206037913052166]
• train split standard deviations (RGB): [0.20063320130738121]

Samples per class for split train

0: Acantharia                       79.00
1: Amphorides                       129.00
2: Calanoida                        282.00
3: Cladopyxis                       81.00
4: Climacodium inter. Crocosphaera  345.00
5: Codonaria                        82.00
6: Dictyocysta                      229.00
7: Ditylum                          817.00
8: Eutintinnus                      682.00
9: Foraminifera                     231.00
10: Fragilariopsis                  80.00
11: Katagnymene spiralis            102.00
12: Metacylis                       86.00
13: Nitzschia                       167.00
14: Ornithocercus                   234.00
15: Oxytoxum                        116.00
16: Planktoniella sol              ▇ 1207.00
17: Podolampas                      309.00
18: Protoperidinium                 643.00
19: Rhabdonellidae                 ▇ 1088.00
20: Rhizosoleniaceae               ▇▇▇ 5524.00
21: Spumellaria                     229.00
22: Thalassionematales             ▇ 868.00
23: Undellidae                      685.00
24: Xystonellidae                   356.00
25: artefact                       ▇▇ 2843.00
26: badfocus                        431.00
27: chainlarge                      422.00
28: cyano a                        ▇▇▇▇ 7301.00
29: cyano b                        ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 36215.00
30: dark                           ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 69085.00
31: darkrods                        841.00
32: darksphere                     ▇ 1704.00
33: detritus                       ▇ 1700.00
34: nauplii                        ▇▇▇ 5347.00
35: other_egg                       163.00
36: part_Ciliophora                 148.00
37: transparent_u                   162.00

Reference

Jalabert, L., Signoret, G., Caray-Counil, L., Vilain, M., Martins, E., Lombard, F., Picheral, M., & Irisson, J.-O. (2024). FlowCAMNet: plankton images captured with the FlowCAM. SEANOE. https://doi.org/10.17882/101961

BibTEX

@article{dataset:flowcamnet,
  title      = {FlowCAMNet: plankton images captured with the FlowCAM},
  author     = {Jalabert, Laetitia and Signoret, Guillaume and Caray-Counil, Louis
              and Vilain, Marion and Martins, Emmanuelle and Lombard, Fabien
              and Picheral, Marc and Irisson, Jean-Olivier},
  year       = 2024,
  journal    = {SEANOE},
  doi        = {10.17882/101961},
  affiliation = {Sorbonne Université, CNRS, Institut de la Mer de Villefranche, IMEV, 06230 Villefranche-sur-Mer, France.
      Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefanche, LOV, 06230 Villefranche-sur-mer, France}
}

Usage

from datasets import load_dataset

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