Discover free Computer Vision APIs and AI models curated by Free API Hub. From image recognition to object detection, these tools empower developers to build intelligent applications with advanced visual capabilities and seamless integration.
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DeepLabV3+ by Google is the free open-source state-of-the-art semantic segmentation model. Apache 2.0, supports 21+ classes (Pascal VOC), runs on mobile devices via TFLite. Best free segmentation AI for production deployment.
https://github.com/tensorflow/models/tree/master/research/deeplabSegment Anything (SAM) is Meta AI's foundation model for image segmentation. Click any object — SAM creates a precise mask instantly. Free, open-source (Apache 2.0), powers image editing, AI tools, robotics, and medical imaging.
https://segment-anything.com/Detectron2 is Meta AI's free open-source computer vision library powering object detection, instance segmentation, panoptic segmentation, and pose estimation. Apache 2.0, PyTorch-native, used by thousands of production CV teams.
https://ai.meta.com/tools/detectron2/YOLOv5 is the legendary free open-source real-time object detection model by Ultralytics. PyTorch-native, lightning fast, runs on edge devices. The industry standard for production computer vision since 2020.
https://docs.ultralytics.com/models/yolov5/