Datasets:

project-oceania
/

lensless

license: cc-by-4.0
task_categories:
  - image-classification
pretty_name: Lensless Freshwater Plankton Dataset
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': ACTINOSPHAERIUM NUCLEOFILUM
            '1': ARCELLA VULGARIS
            '2': BLEPHARISMA AMERICANUM
            '3': DIDINIUM NASUTUM
            '4': DILEPTUS
            '5': EUPLOTES EURYSTOMUS
            '6': PARAMECIUM  BURSARIA
            '7': SPIROSTOMUM AMBIGUUM
            '8': STENTOR COERULEUS
            '9': VOLVOX
  splits:
    - name: train
      num_bytes: 27638352
      num_examples: 5000
    - name: test
      num_bytes: 7603308
      num_examples: 1400
  download_size: 31826729
  dataset_size: 35241660
  description: >-
    A mixture of ten freshwater plankton species imaged with a lensless
    microscope designed for in situ data collection.
  dataset_name: Lensless Freshwater Plankton Dataset
  citation: |-
    @article{dataset:lensless,
      title     = {Annotation-free learning of plankton for classification and anomaly detection},
      author    = {Pastore, V.P. and Zimmerman, T.G. and Biswas, S.K. and Bianco, S.},
      journal   = {Scientific Reports},
      volume    = {10},
      number    = {1},
      pages     = {12142},
      year      = {2020},
      publisher = {Nature Publishing Group},
      doi       = {10.1038/s41598-020-68662-3},
      url       = {https://doi.org/10.1038/s41598-020-68662-3}
    }
  homepage: https://ibm.ent.box.com/v/PlanktonData
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
dataset_description: >-
  A mixture of ten freshwater plankton species imaged with a lensless microscope
  designed for in situ data collection.
citation_bibtex: |-
  @article{dataset:lensless,
    title     = {Annotation-free learning of plankton for classification and anomaly detection},
    author    = {Pastore, V.P. and Zimmerman, T.G. and Biswas, S.K. and Bianco, S.},
    journal   = {Scientific Reports},
    volume    = {10},
    number    = {1},
    pages     = {12142},
    year      = {2020},
    publisher = {Nature Publishing Group},
    doi       = {10.1038/s41598-020-68662-3},
    url       = {https://doi.org/10.1038/s41598-020-68662-3}
  }
citation_apa: >
  Pastore, V. P., Zimmerman, T. G., Biswas, S. K., & Bianco, S. (2020).
  Annotation-free learning of 

  plankton for classification and anomaly detection. Scientific Reports, 10(1),
  12142. https://doi.org/10.1038/s41598-020-68662-3
hgfc_dataset_name: lensless
source_url: https://ibm.ent.box.com/v/PlanktonData
hf_dataset_name: lensless
hf_org_name: project-oceania
report_markdown: >
  **Samples per class for split `train`**
   ```──────────────────────── Label histogram for train split  ─────────────────────────
  0: ACTINOSPHAERIUM NUCLEOFILUM ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  500.00

  1: ARCELLA VULGARIS            ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  500.00

  2: BLEPHARISMA AMERICANUM      ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  500.00

  3: DIDINIUM NASUTUM            ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  500.00

  4: DILEPTUS                    ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  500.00

  5: EUPLOTES EURYSTOMUS         ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  500.00

  6: PARAMECIUM  BURSARIA        ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  500.00

  7: SPIROSTOMUM AMBIGUUM        ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  500.00

  8: STENTOR COERULEUS           ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  500.00

  9: VOLVOX                      ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  500.00

  ```


  **Samples per class for split `test`**
   ```───────────────────────── Label histogram for test split  ─────────────────────────
  0: ACTINOSPHAERIUM NUCLEOFILUM ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  140.00

  1: ARCELLA VULGARIS            ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  140.00

  2: BLEPHARISMA AMERICANUM      ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  140.00

  3: DIDINIUM NASUTUM            ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  140.00

  4: DILEPTUS                    ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  140.00

  5: EUPLOTES EURYSTOMUS         ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  140.00

  6: PARAMECIUM  BURSARIA        ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  140.00

  7: SPIROSTOMUM AMBIGUUM        ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  140.00

  8: STENTOR COERULEUS           ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  140.00

  9: VOLVOX                      ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
  140.00

  ```
dataset_means: '[0.4140324021223468, 0.43283753018640264, 0.4201652068819248]'
dataset_stds: '[0.12368459767878866, 0.1250351586616661, 0.13132434456183137]'

Dataset Lensless Freshwater Plankton Dataset

A mixture of ten freshwater plankton species imaged with a lensless microscope designed for in situ data collection.

Original dataset available online at: https://ibm.ent.box.com/v/PlanktonData.
Original dataset license: <cc-by-4.0>.

Details

train split means (RGB): [0.4140324021223468, 0.43283753018640264, 0.4201652068819248]
train split standard deviations (RGB): [0.12368459767878866, 0.1250351586616661, 0.13132434456183137]

Samples per class for split train

0: ACTINOSPHAERIUM NUCLEOFILUM ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 500.00
1: ARCELLA VULGARIS            ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 500.00
2: BLEPHARISMA AMERICANUM      ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 500.00
3: DIDINIUM NASUTUM            ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 500.00
4: DILEPTUS                    ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 500.00
5: EUPLOTES EURYSTOMUS         ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 500.00
6: PARAMECIUM  BURSARIA        ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 500.00
7: SPIROSTOMUM AMBIGUUM        ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 500.00
8: STENTOR COERULEUS           ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 500.00
9: VOLVOX                      ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 500.00

Samples per class for split test

0: ACTINOSPHAERIUM NUCLEOFILUM ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 140.00
1: ARCELLA VULGARIS            ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 140.00
2: BLEPHARISMA AMERICANUM      ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 140.00
3: DIDINIUM NASUTUM            ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 140.00
4: DILEPTUS                    ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 140.00
5: EUPLOTES EURYSTOMUS         ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 140.00
6: PARAMECIUM  BURSARIA        ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 140.00
7: SPIROSTOMUM AMBIGUUM        ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 140.00
8: STENTOR COERULEUS           ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 140.00
9: VOLVOX                      ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 140.00

Reference

Pastore, V. P., Zimmerman, T. G., Biswas, S. K., & Bianco, S. (2020). Annotation-free learning of plankton for classification and anomaly detection. Scientific Reports, 10(1), 12142. https://doi.org/10.1038/s41598-020-68662-3

BibTEX

@article{dataset:lensless,
  title     = {Annotation-free learning of plankton for classification and anomaly detection},
  author    = {Pastore, V.P. and Zimmerman, T.G. and Biswas, S.K. and Bianco, S.},
  journal   = {Scientific Reports},
  volume    = {10},
  number    = {1},
  pages     = {12142},
  year      = {2020},
  publisher = {Nature Publishing Group},
  doi       = {10.1038/s41598-020-68662-3},
  url       = {https://doi.org/10.1038/s41598-020-68662-3}
}

Usage

from datasets import load_dataset

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