Budget: 2000 USD Deadline: 15 days
Hello, the project looks extremely interesting. I fully understand the specifics of working with industrial and scientific data, where traditional computer vision methods solve just as much as deep learning. I am ready to discuss the details of the task, the nature of your data, and the current benchmarks and metrics.
Budget: 600 USD Deadline: 30 days
Hello! I am ready to join the development of the industrial image verification system. I work with Python, PostgreSQL, FastAPI, and building complete data processing pipelines. I suggest starting with dataset analysis, preparing 16-bit images, and creating a basic statistical model, after which we can move on to PyTorch models for anomaly and discrepancy detection.
Budget: 87 USD Deadline: 3 days
Is the raw imagery actually DICOS, or a different 16-bit format? That decides if pydicom covers it or a custom reader is needed.
I'd start with preprocessing plus a simple statistical baseline before a detection model, then wire Postgres/pgvector for the cross-check and MLflow for tracking.
Ready in about 3 days.
