Video Crack Detection Model
Budget: $30 – $250 USD
I have a single, lengthy video and need a lightweight proof-of-concept model that can flag visible cracks whenever they appear. The task is focused and time-sensitive—ASAP delivery is preferred.
What I will supply
• The full video file (or a link to it).
• A shortlist describing the exact “crack” patterns I consider relevant.
What I need from you
• A trained object-detection model (YOLOv5/YOLOv8, TensorFlow, or PyTorch—use whichever you are fastest with) that can spot cracks frame-by-frame.
• An inference script that takes the video as input and outputs timestamps and, ideally, bounding-box coordinates for each detected crack.
• Brief setup instructions so I can run the script locally.
Keep the scope lean: no heavy dataset curation—use transfer learning and any open-source crack datasets you already know. The end goal is a working demo that shows reliable detection on my footage, nothing more at this stage.
If you can turn this around quickly with clear results, let’s get started right away.
What I will supply
• The full video file (or a link to it).
• A shortlist describing the exact “crack” patterns I consider relevant.
What I need from you
• A trained object-detection model (YOLOv5/YOLOv8, TensorFlow, or PyTorch—use whichever you are fastest with) that can spot cracks frame-by-frame.
• An inference script that takes the video as input and outputs timestamps and, ideally, bounding-box coordinates for each detected crack.
• Brief setup instructions so I can run the script locally.
Keep the scope lean: no heavy dataset curation—use transfer learning and any open-source crack datasets you already know. The end goal is a working demo that shows reliable detection on my footage, nothing more at this stage.
If you can turn this around quickly with clear results, let’s get started right away.
Related categories:
C Programming
Python
Algorithm
Machine Learning (ML)
C++ Programming
Computer Vision
Deep Learning
Object Detection