Image processing App
Budget: $250 – $750 USD
I am looking for a developer to create an image processing app for iOS that focuses on object recognition. The app should be compatible with iOS platform and should be designed for both personal and professional use.
Ideal skills and experience for this job would include:
- Proficiency in iOS app development
- Experience with image processing and object recognition algorithms
- Strong understanding of user interface design and user experience
- Ability to integrate the app with external APIs or libraries for object recognition
- Attention to detail and ability to deliver a high-quality app
Computer Vision Libraries: Utilize libraries like OpenCV for image processing and feature extraction.
Machine Learning Frameworks: TensorFlow or PyTorch can be used for implementing machine learning models to classify images as scratched or scratch-free.
Programming Languages: Python is commonly used for developing such applications due to its extensive libraries in computer vision and machine learning.
Mobile App Development: For creating the mobile app, you might use frameworks like React Native, Flutter, or native development (Swift for iOS, Kotlin/Java for Android).
Cloud Services: For storing and processing data, cloud services like AWS, Google Cloud, or Azure can be beneficial.
Backend Development: If your app requires a backend for additional features or data processing, technologies like Node.js, Django, or Flask could be used.
The app should provide users with the ability to process images and recognize objects in them. It should have a user-friendly interface and allow for both personal and professional use.
Ideal skills and experience for this job would include:
- Proficiency in iOS app development
- Experience with image processing and object recognition algorithms
- Strong understanding of user interface design and user experience
- Ability to integrate the app with external APIs or libraries for object recognition
- Attention to detail and ability to deliver a high-quality app
Computer Vision Libraries: Utilize libraries like OpenCV for image processing and feature extraction.
Machine Learning Frameworks: TensorFlow or PyTorch can be used for implementing machine learning models to classify images as scratched or scratch-free.
Programming Languages: Python is commonly used for developing such applications due to its extensive libraries in computer vision and machine learning.
Mobile App Development: For creating the mobile app, you might use frameworks like React Native, Flutter, or native development (Swift for iOS, Kotlin/Java for Android).
Cloud Services: For storing and processing data, cloud services like AWS, Google Cloud, or Azure can be beneficial.
Backend Development: If your app requires a backend for additional features or data processing, technologies like Node.js, Django, or Flask could be used.
The app should provide users with the ability to process images and recognize objects in them. It should have a user-friendly interface and allow for both personal and professional use.