Computer Vision Models
Blog post from Roboflow
Roboflow's platform offers an extensive range of state-of-the-art computer vision models, enabling users to deploy these models using the Roboflow Hosted API or their own hardware. These models cover a broad spectrum of applications, including object detection, image segmentation, pose estimation, and vision-language tasks. Notable models such as YOLOv8 and RF-DETR are highlighted for their capabilities in instance segmentation and object detection, respectively. The platform supports a variety of licensing options like Apache 2.0 and AGPL-3.0, and emphasizes real-time performance and zero-shot capabilities in some models. Additionally, Roboflow facilitates the deployment of models like Grounding DINO and Segment Anything, which are designed for zero-shot segmentation tasks. The platform's offerings include models developed by leading AI research entities such as OpenAI, Meta, and Google, reflecting a commitment to integrating cutting-edge technology for diverse computer vision challenges.