Attentive.ai builds AI models for computer vision by leveraging deep learning techniques and large datasets to train models for specific applications. They use convolutional neural networks (CNNs) to extract features and analyze images, enabling tasks like object detection, segmentation, and classification.
The models are fine-tuned using labeled data and enhanced with techniques like transfer learning to improve accuracy and efficiency. Attentive.ai may also employ custom data augmentation strategies to ensure robustness across various scenarios.
Their focus on domain-specific solutions, such as real estate or urban planning, allows them to develop AI models tailored to unique industry needs, providing high-performance results.