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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
This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/efficientnet/b2/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
Trailer Capacity Prediction model takes images of open containers being loaded/unloaded as input and classifies them into categories - quarter, half or fully packed. It can be used to plan container loading/unloading and optimize/automate warehouse operations which in turn reduces truck waiting...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/efficientnet/b5/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
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Helmet & Vest Detector for Worker Safety - is a real-time image recognition and classification model for PPE non-compliance detection in the industrial setting. The ML model can be used in manufacturing, construction, steel, oil & gas, and other industrial environments. It detects the absence of...
Model Package - Fulfilled on Amazon SageMaker
Personalized Image Background Check by Seamfix enhances photo clarity, adjusts image backgrounds, reduces errors and improves the verification process. This solution's intuitive design and smart AI refines photos, even for users new to this technology. It is used by financial services providers...
Model Package - Fulfilled on Amazon SageMaker
This model identifies if a given parking slot is occupied or not. It is trained using convolutional neural network (CNN) on parking lot images to identify occupancy. This model can be extended as edge ML model with a parking monitoring drone that continuously monitors available and occupied parking...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_vgg/). 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 different classes....
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/imagenet/mobilenet_v1_050_192/classification/4). 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...
Model Package - Fulfilled on Amazon SageMaker
This is a hybrid classical-quantum machine learning based solution which detects cracks on concrete and other civil infrastructure surface images. The algorithm uses a pre-trained DCGAN before variational quantum circuit. The DCGAN model is trained on in hand dataset to perform feature...
Model Package - Fulfilled on Amazon SageMaker
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