What is Object Recognition?

Object recognition, a key task in computer vision, involves identifying specific objects within images or videos and determining their locations. This process utilizes computer vision models, which can be broadly categorized into zero-shot models and fine-tuned models. Zero-shot models are large, pre-trained systems capable of identifying a wide range of common objects without additional training, while fine-tuned models are smaller and tailored to recognize specific classes of objects. These models are applied across various fields, such as logistics, safety, and manufacturing, enabling automated responses to specific conditions. Several model architectures support object recognition, including YOLO, transformers, and convolutional neural networks like R-CNN. Platforms like Roboflow provide tools for developing and deploying these models, offering a user-friendly interface for training custom models and deploying them on edge devices, empowering users to build vision-enabled applications efficiently.