We’re looking for a skilled freelancer to build a real-time wall-crack detection system using YOLO (v5 or later)

Job ID: 39620570

Budget: $30 – $250 USD

We’re looking for a skilled freelancer to build a real-time wall-crack detection system using YOLO (v5 or later).

Scope:

* Train or fine-tune a YOLO model to detect cracks in images of walls (indoor/outdoor).
* Prepare/augment a labeled dataset (min. 500 images) or work with ours.
* Provide inference code (Python, PyTorch) and instructions for deployment.

Requirements:

* Proven experience with YOLO object detection (v5/v7/v8).
* Strong Python and PyTorch skills.
* Ability to optimize for speed and accuracy on edge/desktop.

Please share similar past projects and an estimated timeline.