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--- |
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license: cc-by-nc-4.0 |
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task_categories: |
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- image-classification |
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paperswithcode_id: flowcamnet |
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pretty_name: 'FlowCAMNet: plankton images captured with the FlowCAM' |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': Acantharia |
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'1': Amphorides |
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'2': Calanoida |
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'3': Cladopyxis |
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'4': Climacodium inter. Crocosphaera |
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'5': Codonaria |
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'6': Dictyocysta |
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'7': Ditylum |
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'8': Eutintinnus |
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'9': Foraminifera |
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'10': Fragilariopsis |
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'11': Katagnymene spiralis |
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'12': Metacylis |
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'13': Nitzschia |
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'14': Ornithocercus |
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'15': Oxytoxum |
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'16': Planktoniella sol |
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'17': Podolampas |
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'18': Protoperidinium |
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'19': Rhabdonellidae |
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'20': Rhizosoleniaceae |
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'21': Spumellaria |
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'22': Thalassionematales |
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'23': Undellidae |
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'24': Xystonellidae |
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'25': artefact |
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'26': badfocus |
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'27': chainlarge |
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'28': cyano a |
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'29': cyano b |
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'30': dark |
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'31': darkrods |
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'32': darksphere |
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'33': detritus |
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'34': nauplii |
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'35': other_egg |
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'36': part_Ciliophora |
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'37': transparent_u |
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splits: |
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- name: train |
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num_bytes: 1019454648.649 |
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num_examples: 141013 |
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download_size: 283069024 |
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dataset_size: 1019454648.649 |
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description: 'Plankton was imaged with Flowcam in contrasted oceanic regions. The |
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full images were processed with the ImageJ |
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software and the regions of interest (ROIs) around each individual object were |
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recorded. A set of associated |
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|
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features were measured on the objects. All objects were classified by a limited |
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number of operators into 167 |
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|
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different classes using the web application EcoTaxa (http://ecotaxa.obs-vlfr.fr). |
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The following dataset |
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|
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corresponds to the 301,247 objects and their calculated features. The different |
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files provide information about |
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|
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the features of the objects, their taxonomic identification as well as the raw |
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images. |
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' |
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dataset_name: 'FlowCAMNet: plankton images captured with the FlowCAM' |
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citation: "@article{dataset:flowcamnet,\n title = {FlowCAMNet: plankton images\ |
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\ captured with the FlowCAM},\n author = {Jalabert, Laetitia and Signoret,\ |
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\ Guillaume and Caray-Counil, Louis\n and Vilain, Marion and Martins,\ |
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\ Emmanuelle and Lombard, Fabien\n and Picheral, Marc and Irisson,\ |
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\ Jean-Olivier},\n year = 2024,\n journal = {SEANOE},\n doi \ |
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\ = {10.17882/101961},\n affiliation = {Sorbonne Université, CNRS, Institut\ |
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\ de la Mer de Villefranche, IMEV, 06230 Villefranche-sur-Mer, France.\n \ |
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\ Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefanche, LOV,\ |
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\ 06230 Villefranche-sur-mer, France}\n}" |
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homepage: https://www.seanoe.org/data/00908/101961/ |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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dataset_description: 'Plankton was imaged with Flowcam in contrasted oceanic regions. |
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|
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. |
|
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|
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' |
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source_url: https://www.seanoe.org/data/00908/101961/ |
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citation_bibtex: "@article{dataset:flowcamnet,\n title = {FlowCAMNet: plankton\ |
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\ images captured with the FlowCAM},\n author = {Jalabert, Laetitia and Signoret,\ |
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\ Guillaume and Caray-Counil, Louis\n and Vilain, Marion and Martins,\ |
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\ Emmanuelle and Lombard, Fabien\n and Picheral, Marc and Irisson,\ |
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|
\ Jean-Olivier},\n year = 2024,\n journal = {SEANOE},\n doi =\ |
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\ {10.17882/101961},\n affiliation = {Sorbonne Université, CNRS, Institut de la\ |
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\ Mer de Villefranche, IMEV, 06230 Villefranche-sur-Mer, France.\n Sorbonne\ |
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\ Université, CNRS, Laboratoire d'Océanographie de Villefanche, LOV, 06230 Villefranche-sur-mer,\ |
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\ France}\n}" |
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citation_apa: 'Jalabert, L., Signoret, G., Caray-Counil, L., Vilain, M., Martins, |
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E., Lombard, F., Picheral, M., & Irisson, J.-O. (2024). |
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|
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FlowCAMNet: plankton images captured with the FlowCAM. SEANOE. https://doi.org/10.17882/101961 |
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|
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' |
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hf_dataset_name: flowcamnet |
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hf_org_name: project-oceania |
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report_markdown: "**Samples per class for split `train`**\n ```────────────────────────\ |
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\ Label histogram for train split ─────────────────────────\n0: Acantharia \ |
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\ 79.00\n1: Amphorides 129.00\n2: Calanoida\ |
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\ 282.00\n3: Cladopyxis 81.00\n4: Climacodium\ |
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\ inter. Crocosphaera 345.00\n5: Codonaria 82.00\n6: Dictyocysta\ |
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\ 229.00\n7: Ditylum 817.00\n8: Eutintinnus\ |
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\ 682.00\n9: Foraminifera 231.00\n10: Fragilariopsis\ |
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\ 80.00\n11: Katagnymene spiralis 102.00\n12: Metacylis\ |
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\ 86.00\n13: Nitzschia 167.00\n14: Ornithocercus\ |
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\ 234.00\n15: Oxytoxum 116.00\n16: Planktoniella\ |
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\ sol ▇ 1207.00\n17: Podolampas 309.00\n18: Protoperidinium\ |
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\ 643.00\n19: Rhabdonellidae ▇ 1088.00\n20: Rhizosoleniaceae\ |
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\ ▇▇▇ 5524.00\n21: Spumellaria 229.00\n22: Thalassionematales\ |
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\ ▇ 868.00\n23: Undellidae 685.00\n24: Xystonellidae\ |
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\ 356.00\n25: artefact ▇▇ 2843.00\n26: badfocus\ |
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\ 431.00\n27: chainlarge 422.00\n28:\ |
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\ cyano a ▇▇▇▇ 7301.00\n29: cyano b \ |
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\ ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 36215.00\n30: dark ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇\ |
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\ 69085.00\n31: darkrods 841.00\n32: darksphere \ |
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\ ▇ 1704.00\n33: detritus ▇ 1700.00\n34: nauplii\ |
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\ ▇▇▇ 5347.00\n35: other_egg 163.00\n\ |
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36: part_Ciliophora 148.00\n37: transparent_u \ |
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\ 162.00\n```\n" |
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dataset_means: '[0.9206037913052166]' |
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dataset_stds: '[0.20063320130738121]' |
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--- |
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# Dataset *FlowCAMNet: plankton images captured with the FlowCAM* |
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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. |
|
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|
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- **Original dataset available online at:** <https://www.seanoe.org/data/00908/101961/>. |
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- **Original dataset license:** <cc-by-nc-4.0>. |
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## Details |
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- **train split means (RGB):** [0.9206037913052166] |
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- **train split standard deviations (RGB):** [0.20063320130738121] |
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**Samples per class for split `train`** |
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```──────────────────────── Label histogram for train split ───────────────────────── |
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0: Acantharia 79.00 |
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1: Amphorides 129.00 |
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2: Calanoida 282.00 |
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3: Cladopyxis 81.00 |
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4: Climacodium inter. Crocosphaera 345.00 |
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5: Codonaria 82.00 |
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6: Dictyocysta 229.00 |
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7: Ditylum 817.00 |
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8: Eutintinnus 682.00 |
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9: Foraminifera 231.00 |
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10: Fragilariopsis 80.00 |
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11: Katagnymene spiralis 102.00 |
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12: Metacylis 86.00 |
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13: Nitzschia 167.00 |
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14: Ornithocercus 234.00 |
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15: Oxytoxum 116.00 |
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16: Planktoniella sol ▇ 1207.00 |
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17: Podolampas 309.00 |
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18: Protoperidinium 643.00 |
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19: Rhabdonellidae ▇ 1088.00 |
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20: Rhizosoleniaceae ▇▇▇ 5524.00 |
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21: Spumellaria 229.00 |
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22: Thalassionematales ▇ 868.00 |
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23: Undellidae 685.00 |
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24: Xystonellidae 356.00 |
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25: artefact ▇▇ 2843.00 |
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26: badfocus 431.00 |
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27: chainlarge 422.00 |
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28: cyano a ▇▇▇▇ 7301.00 |
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29: cyano b ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 36215.00 |
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30: dark ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 69085.00 |
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31: darkrods 841.00 |
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32: darksphere ▇ 1704.00 |
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33: detritus ▇ 1700.00 |
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34: nauplii ▇▇▇ 5347.00 |
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35: other_egg 163.00 |
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36: part_Ciliophora 148.00 |
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37: transparent_u 162.00 |
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``` |
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## Reference |
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Jalabert, L., Signoret, G., Caray-Counil, L., Vilain, M., Martins, E., Lombard, F., Picheral, M., & Irisson, J.-O. (2024). |
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FlowCAMNet: plankton images captured with the FlowCAM. SEANOE. https://doi.org/10.17882/101961 |
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### BibTEX |
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```bibtex |
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@article{dataset:flowcamnet, |
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title = {FlowCAMNet: plankton images captured with the FlowCAM}, |
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author = {Jalabert, Laetitia and Signoret, Guillaume and Caray-Counil, Louis |
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and Vilain, Marion and Martins, Emmanuelle and Lombard, Fabien |
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and Picheral, Marc and Irisson, Jean-Olivier}, |
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year = 2024, |
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journal = {SEANOE}, |
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doi = {10.17882/101961}, |
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affiliation = {Sorbonne Université, CNRS, Institut de la Mer de Villefranche, IMEV, 06230 Villefranche-sur-Mer, France. |
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Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefanche, LOV, 06230 Villefranche-sur-mer, France} |
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} |
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``` |
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## Usage |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("project-oceania/flowcamnet") |
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``` |
