Pixel-level segmentation requires heavy computing power and costly GPU setups.  Smaller organizations face difficulties scaling model training efficiently.

Pixel-level annotation demands expert input and significant time. Even AI tools need human verification to ensure accuracy.

Models often fail when applied to new environments or lighting conditions. Creating diverse, unbiased datasets remains difficult.

Real-time applications need instant results without losing precision. Achieving both accuracy and speed continues to be a major hurdle.