Seven architectures, seven very different tradeoffs (and the wrong pick shows up later as blown compute budgets, retraining cycles, or masks that miss the boundary you cared about). Cityscapes benchmarks and Dice coefficients tell part of the story, but your dataset size, latency requirements, and hardware ceiling tell the rest. We’ll break down the best […]
Semantic segmentation brings precision to computer vision by assigning a class label to every pixel in an image. Instead of rough locations or high-level tags, it produces a complete map of what is present and exactly where it appears. That level of detail makes it foundational for tasks where shape, boundaries, and coverage matter. We’ll […]
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