Microscope

Dataset Screenshot

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Description

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Compatible Blocks

• Feature extraction: Image
• Learning block: Transfer Learning (Images), Classification

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Dataset Details

• Total Data Items: 246
• Labeling Method: single label
• Train/Test Split: 81.30% / 18.70%

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Usage

• Clone the public project To clone and use this project, visit the Edge Impulse Studio link, click on the Clone button on the top-right corner and follow the cloning instructions.
• Download
  • Direct link
  • HuggingFace - Soon
  • Kaggle - Soon
• Import this dataset to your Edge Impulse project This project uses the Edge Impulse Exporter Format (info.labels). See Edge Impulse labels for more info. Edge Impulse also supports different data acquisition formats and dataset annotation formats that you can import into your project to build your edge AI models:
  • Studio uploader
  • CLI uploader
  • CSV Wizard
  • Python SDK
  • Ingestion API
  • Import from S3 buckets
  • Upload portals

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Citation

@misc{edgeimpulse_dataset_497431,
    title = {Image Classification - Microscope},
    author = {Edge Impulse},
    year = {2024},
    url = {https://studio.edgeimpulse.com/public/497431/latest},
    note = {Apache 2.0}
}