Wisen Technical Portfolio

Alongside training and engineering project work, Wisen IT Solutions carries out applied research in machine learning and computer vision. The datasets we build for that work are released openly, with a DOI where one applies, so other teams can cite and reuse them.

This page is the index of that output: the datasets published on Zenodo, Kaggle and Mendeley Data, and the feedback we have filed on the open-source tools we use day to day. It also serves as a public record of the company behind javascripttrainingcourses.com.

Open datasets

Datasets published by Wisen

Each dataset links to its canonical record — a DOI landing page where one exists — and to any mirror. All are released for free use under the licence shown.

  • Malicious npm Package Detection Dataset

    • Software supply-chain security
    • Static code analysis
    • JavaScript

    Labelled JavaScript source files drawn from malicious and benign npm packages, for training static-analysis and neural models that flag compromised packages in the software supply chain.

    DOI
    10.17632/6tc8wrp62g.1
    Licence
    CC BY 4.0
    How to cite
    @misc{wisen_malicious_npm_package_detection,
      title     = {Malicious npm Package Detection Dataset},
      author    = {{Wisen IT Solutions Private Limited}},
      year      = {2026},
      doi       = {10.17632/6tc8wrp62g.1},
      url       = {https://data.mendeley.com/datasets/6tc8wrp62g/1},
      note      = {Dataset}
    }
  • UC Merced Super-Resolution Dataset (LR–HR Pairs, Blur + Downsample)

    • Image super-resolution
    • Remote sensing

    Paired low- and high-resolution satellite tiles from the UC Merced land-use collection, generated with x4 bicubic downsampling and split into train, validation and test sets for super-resolution benchmarking.

    DOI
    10.5281/zenodo.19712660
    Licence
    CC BY 4.0
    How to cite
    @misc{wisen_uc_merced_super_resolution,
      title     = {UC Merced Super-Resolution Dataset (LR–HR Pairs, Blur + Downsample)},
      author    = {{Wisen IT Solutions Private Limited}},
      year      = {2026},
      doi       = {10.5281/zenodo.19712660},
      url       = {https://doi.org/10.5281/zenodo.19712660},
      note      = {Dataset}
    }
  • ParisStreetView-RandomMasks: Urban Image Inpainting Dataset

    • Image inpainting
    • Generative scene completion
    • Computer vision

    22,601 urban street-view images paired with irregular free-form masks and corrupted versions, for training image-inpainting and diffusion models such as LaMa, EdgeConnect and Stable Diffusion Inpainting.

    DOI
    10.5281/zenodo.20233925
    Licence
    CC BY 4.0
    How to cite
    @misc{wisen_parisstreetview_randommasks,
      title     = {ParisStreetView-RandomMasks: Urban Image Inpainting Dataset},
      author    = {{Wisen IT Solutions Private Limited}},
      year      = {2026},
      doi       = {10.5281/zenodo.20233925},
      url       = {https://doi.org/10.5281/zenodo.20233925},
      note      = {Dataset}
    }
  • AID-Night: Low-Light Satellite Image Dataset

    • Low-light image enhancement
    • Remote sensing

    Satellite scenes under low-light and night-time conditions, for developing and evaluating low-light enhancement, denoising and object-detection models in poor illumination.

    How to cite
    @misc{wisen_aid_night_low_light_satellite,
      title     = {AID-Night: Low-Light Satellite Image Dataset},
      author    = {{Wisen IT Solutions Private Limited}},
      url       = {https://www.kaggle.com/datasets/kannanwisen/aid-night-low-light-satellite-image-dataset},
      note      = {Dataset}
    }
  • AgroGPT Agriculture Knowledge Dataset

    • Generative AI
    • Domain knowledge base
    • Agriculture

    A curated agriculture knowledge corpus for instruction-tuning and retrieval, aimed at building farming-domain question-answering assistants.

    How to cite
    @misc{wisen_agrogpt_agriculture_knowledge,
      title     = {AgroGPT Agriculture Knowledge Dataset},
      author    = {{Wisen IT Solutions Private Limited}},
      url       = {https://www.kaggle.com/datasets/kannanwisen/agrogpt-agriculture-knowledge-dataset},
      note      = {Dataset}
    }
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Teams that train with Wisen IT Solutions, Chennai, India

Engineering teams across product companies, IT services firms and startups run their JavaScript, Angular, React and Next.js upskilling and induction programs with us.

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  • Perpetuuiti Technosoft
  • R Systems
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  • Temenos
  • The Hindu
  • Tamil Nadu Electricity Board
  • WABCO

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