max-object-detector
A TensorFlow-based object detection model that localizes and identifies multiple objects in images using SSD MobileNet V1 or Faster R-CNN ResNet101.
What is max-object-detector?
IBM MAX Object Detector is a pre-trained deep learning model that identifies and localizes objects within images. It recognizes objects from 80 high-level classes in the COCO Dataset, providing bounding box coordinates and confidence scores for each detection. The model is designed for easy deployment as a web service, enabling developers to integrate object detection capabilities into applications without extensive machine learning expertise.
Developers and data scientists who need to add object detection to applications without training custom models, particularly those working on computer vision projects, IoT applications, or AI-powered services. It is also suitable for teams deploying AI models in production environments using container orchestration platforms like Kubernetes or Red Hat OpenShift.
Developers choose this project because it offers a production-ready, pre-trained object detection model with dual model support (SSD MobileNet V1 for speed and Faster R-CNN ResNet101 for accuracy), simplifying integration via a RESTful API. It is part of IBM's Model Asset Exchange, emphasizing accessibility and ease of use with minimal setup, and supports cross-platform deployment including Docker, Kubernetes, and IBM Cloud Code Engine.
Overview
Localize and identify multiple objects in a single image.
Use Cases
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