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Image Processing for Object Detection Models

IntermediateSkill Level
4.8+
113 reviews
Updated 04/2024
Building an image processing pipeline for data augmentation.
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PythonData ManipulationData Visualization1 hr1 Task1,500 XP

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Project Description

Image Processing for Object Detection Models

Use Python to build an image-processing pipeline for an object-detection model!Create a function to generate a dataset of images that can be used to train an animal-detection model. To prepare this dataset you will transform images of animals using various functions from the Scikit-Image package.

Image Processing for Object Detection Models

Building an image processing pipeline for data augmentation.
Start Project
  • 1

    Task 1

Don’t just take our word for it

*4.8
from 113 reviews
84%
16%
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0%
  • Moh Wahyu
    last week

  • Monica
    2 weeks ago

  • C.
    2 weeks ago

  • Md. Rayhan
    2 weeks ago

    Great practical project! Learned a lot about preparing images properly for object detection: denoising, contrast improvement, segmentation, and even face blurring for privacy. Exercises are clear, code runs smoothly, and you immediately see the impact of each step. Very useful for anyone interested in CV pipelines. Strongly recommend! 5/5.

  • MD.
    2 weeks ago

    GOOD

  • Vijaya
    3 weeks ago

Monica

C.

"Great practical project! Learned a lot about preparing images properly for object detection: denoising, contrast improvement, segmentation, and even face blurring for privacy. Exercises are clear, code runs smoothly, and you immediately see the impact of each step. Very useful for anyone interested in CV pipelines. Strongly recommend! 5/5."

Md. Rayhan

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