• By Sensifai

Sensifai offers automatic Not Safe For Work (NSFW) content recognition in images. Given an input image, this system classifies the nudity level to safe, unsafe and possible.

• Version GPU
• By Amazon Web Services

This is an object detection model from [TensorFlow Hub](https://tfhub.dev/tensorflow/ssd_mobilenet_v1/fpn_640x640/1). 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 task...

Model Package - Fulfilled on Amazon SageMaker

• By HAPPAY

Happay stands as India's leading travel and expense management, renowned for its best-in-class features and cutting-edge AI-driven processes. We believe that integrating Happay into an organisation's operations could significantly enhance your Travel and Expense (T&E) management. Established in...

• By Quantiphi

Quantiphi's Vehicle Image Optimization solution utilizes advanced computer vision techniques to detect and reduce image noise. The solution automatically identifies common issues like blurs, glares, shadows, and other image distortions, ensuring high-quality vehicle photos for sales purposes. By...

• Version GPU
• By Amazon Web Services

This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/imagenet/mobilenet_v1_025_160/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

• By Quantiphi

QSynth works by annotating the sensitive data, anonymizing and masking to reduce the risk of unauthorized access. Anonymization helps protect against data breaches and unauthorized access by minimizing the exposure of sensitive information. Anonymization can involve replacing personal data with...

• Version GPU
• By Amazon Web Services

This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_resnet/). 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

• Version 1.0
• By Mphasis

Analysing a document requires understanding the structure of the contents on its pages. Documents have sections, headers, captions, images, tables and footers. Each of these can provide valuable metadata when trying to extract information. For example: i) Searching for and identifying images can be...

Model Package - Fulfilled on Amazon SageMaker

• By Accenture

The 3D Continuum Engine (3DCE) offers organizations a centralized 3D asset solution that improves the overall functionality, costs and maintenance associated with managing 3D content. A secure, compliant end-to-end 3D asset lifecycle management accelerating solutions. Accenture global consulting...

• Version GPU
• By Amazon Web Services

This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/imagenet/resnet_v1_152/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 images of...

Model Package - Fulfilled on Amazon SageMaker