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Talha Arshad.

Web applications, management systems, AI products, and automation. Available worldwide, remote, 24/7.

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Pakistan

All projects

Machine learning and deep learning

Image recognition projects

Object detection and image classification with TensorFlow, Keras, Flask, and OpenCV.

A bird photo from the public image-recognition sample set.

Sample image from the public repository. Not a client screenshot.

About this project

A collection of object-detection and image-classification projects using TensorFlow, Keras, Flask, and OpenCV. A Streamlit app classifies cat and dog photos with a Keras model: 64×64 RGB input, normalized by 1/255. A Flask app loads a Keras model and classifies a photo as one of six bird species: American goldfinch, barn owl, carmine bee-eater, downy woodpecker, emperor penguin, and flamingo. Vehicle detection is in the same repository and is listed on its own.

See services for this kind of workSee the skills behind this buildBrowse all projects

Stack and links

  • TensorFlow
  • Keras
  • Flask
  • OpenCV
  • Streamlit
  • Repository

More in Machine learning and deep learning

  • Cars marked in a road image from the public vehicle-detection sample set.

    Machine learning and deep learning

    Vehicle detection

    Detects and counts cars and buses in a road image.

    View project
  • Illustration

    Machine learning and deep learning

    Machine learning projects

    Stock-price prediction, bird detection, and breast-cancer prediction.

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  • Cover art for the story-to-image project.

    Machine learning and deep learning

    Story to Image Generator

    Splits a script or story into scenes and generates a preview image for each scene.

    View project

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