MCLX ML EXE - Image Background Remover & Augmentor 🔥

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Welcome to MCLX ML EXE! This tool allows you to automatically remove backgrounds from images and generate image augmentations, making it an essential addition to any machine learning or image processing pipeline.

Features 🎉

Background Removal: Easily remove backgrounds from images in bulk.
Automatic Augmentations: Generate variations of images in specified folders to enhance your dataset.
Simple Setup: No coding required—just run the executable and select your input folder.
Intuitive Folder Structure Requirement: Specify a parent_folder that includes organized subfolders of images to get the best output.

Installation ⚙️

Download the latest release of MCLX ML EXE from the Releases page.
Run the executable mclx_ml_exe.exe.

Usage 🚀

Select the Parent Folder:

Organize your images in a parent_folder, with each subfolder containing images.

For example:

parent_folder/
├── folder_a/
│   ├── image1.jpg
│   ├── image2.png
├── folder_b/
│   ├── image1.jpg
│   ├── image2.png

Run the Tool:
- After launching mclx_ml_exe.exe, select the parent_folder.
- The tool will process each folder’s images by removing backgrounds and generating augmentations.
Output:
- The processed images and their augmentations will be saved in the selected output directory, ready for use!

Folder Requirements 📂

Parent Folder: This must contain subfolders with images. Each subfolder represents a unique class or set of images.
Naming Convention: Ensure each subfolder has a distinct name for the best organization of augmented outputs.

Example Output 🖼️

After processing, your directory structure might look like this:

System Requirements 🖥️

OS: Windows 10 or higher
RAM: 4 GB or more recommended for smooth processing
Disk Space: Sufficient space to accommodate the augmented image files

Contributing 🤝

Interested in enhancing MCLX ML EXE? Contributions are welcome! To get started:

Fork the repository on GitHub.
Make changes in your fork and test thoroughly.
Submit a pull request with a brief explanation of the changes.

License 📄

This project is licensed under the MIT License - see the LICENSE file for details.

Contact 📬

For questions or suggestions, reach out via:

Email: developer.mozadded@gmail.com
GitHub Issues: Open an issue

mozaddedalfeshani / mclx_ml_exe

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