Tag Computer Vision

Computer vision and machine learning in 2025 collide with multimodal LLMs, image generation, synthetic data, and edge AI. Discover real time video analytics, YOLOv11 and DeepLab, new chips, and privacy rules shaping jobs, products, and profits.

Meet Florence-2: a unified vision foundation model that uses prompt-based seq2seq to crush computer vision tasks, image captioning, object detection, grounding, segmentation, trained on FLD-5B’s 5.4B annotations. Faster training, fewer params, SOTA results.