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YAML Metadata Warning: The task_categories "computer-vision" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

CleanVision Sample Images

This dataset contains sample images for demonstrating CleanVision, a Python package for automatically detecting issues in image datasets.

Dataset Description

This collection includes various images with different quality issues such as:

  • Blurry images
  • Dark/underexposed images
  • Overexposed images
  • Near-duplicate images
  • Images with various other quality issues

Usage

Download the dataset:

wget https://huggingface.co/datasets/cleanlab/cleanvision-sample-images/resolve/main/image_files.zip
unzip image_files.zip

Use with CleanVision:

from cleanvision import Imagelab

# Point to the extracted images folder
imagelab = Imagelab(data_path="path/to/extracted/images/")

# Find issues in the dataset
imagelab.find_issues()

# Generate report
imagelab.report()

License

mit - see the CleanVision repository for details.

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