This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/bit/s-r50x3/ilsvrc2012_classification/1). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of...
Model Package - Fulfilled on Amazon SageMaker
Agmis company competence - image recognition and understanding. For example, our solutions recognize different objects in images/video. We provide solutions for retail, constructions, aero and visual inspection. This model is used to read price information in pricetags.
Model Package - Fulfilled on Amazon SageMaker
Mphasis DeepInsights face recognition algorithm detects the faces present in the image data and uses the concepts of transfer learning to extract high quality features from the facial data known as face embeddings. These face embedding are used to train the machine learning model for face...
Algorithm - Fulfilled on Amazon SageMaker
This is an object detection model from [TensorFlow Hub](https://tfhub.dev/tensorflow/centernet/resnet50v1_fpn_512x512/1). It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and the...
Model Package - Fulfilled on Amazon SageMaker
This is a hybrid classical-quantum machine learning based solution which detects cracks on road surface images. The algorithm uses integrated trainable classical convolutional encoder before variational quantum circuit. This jointly trained convolutional encoder-based architecture enables...
Model Package - Fulfilled on Amazon SageMaker
The Core of the Solution: AI-Powered Safety The solution is built on the robust foundation of AWS cloud. It leverages advanced machine learning and computer vision algorithms to analyze live video feeds in real-time. By identifying individuals not wearing helmets or hard hats, the system plays a...
Classifies the whole scene of a 360 image within 365 classes. Additionally, it provides center-of-attention maps for each class and measures the likelihood that attributes (natural, open-space, vegetation, etc..) are represented within a scene. Finallty, it decides whether a scene is indoors or...
Model Package - Fulfilled on Amazon SageMaker
Unleash the power of AI with our differentiated offerings, leveraging the award-winning QpiAI-Pro™, an end-to-end No-Code/Low-Code Auto ML and MLOps platform, recognized for its capability of developing and deploying models across a wide variety of domains and sub-domains. Our dedicated team of...
This is an object detection model from [TensorFlow Hub](https://tfhub.dev/tensorflow/retinanet/resnet152_v1_fpn_1024x1024/1). It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and...
Model Package - Fulfilled on Amazon SageMaker
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The Worker Health Safety solution enables businesses to minimize disease transmission risks in various environments. Through ML-driven proactive monitoring, it makes it easier to enforce and comply with safety standards, to keep customers and employees safe from viruses and bacteria. The ML model...
Model Package - Fulfilled on Amazon SageMaker
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