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Computer Vision (344 results) showing 31 - 40



This is an object detection model from [TensorFlow Hub](https://tfhub.dev/tensorflow/ssd_mobilenet_v2/2). 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 is to...

Model Package - Fulfilled on Amazon SageMaker


ORCA HUNTR - OBJECT DETECTION AND CLASSIFICATION IN MINUTES ORCA HUNTR is a revolutionary no-code environment that enables anyone to train, test and exploit AI/ML-powered object detection and classification, which can be applied to a variety of scenarios. INTUITIVE OBJECT DETECTION AND...


Classify skin images which potentially contain diseases. This model was trained on acne rosacea, actinic keratosis, bascell cell carcinoma, benign keratosis, eczema, melanoma, nevus, or vascular issues. This model is not intended for medical use or diagnosis.

Model Package - Fulfilled on Amazon SageMaker


Comet's machine learning platform integrates with your existing infrastructure and tools so you can manage, visualize, and optimize model - from training runs to production monitoring. Add two lines of code to your notebook or script and automatically start tracking code, hyperparameters, metrics,...

Linux/Unix, Ubuntu 22.04 LTS - 64-bit Amazon Machine Image (AMI)


Superb AI Platform provides automation-based modules for data labeling, QA, curation and model training and deployment. These modules are designed to enable computer vision teams to create efficiencies across the full MLOps lifecycle for the purpose of rapid model building and deployment.


Starting from $0.00/hr or from $0.00/yr (up to 70% savings) for software + AWS usage fees

This is a repackaged open source software wherein additional charges apply for extended support with a 24 hour response time. This image contains Deep Learning AMI (DLAMI) Ubuntu 16.04 and includes support. This image is perfect for creating your deep learning models on a GPU instance such as:...

Linux/Unix, Ubuntu 16.04 LTS - 64-bit Amazon Machine Image (AMI)


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.


Prevent fraud and eliminate manual reviews by using Fortiro to automatically verify financial documents. Identify and prioritise document fraud risk. Analyse documents in three ways - layout, text and digital. Powered with AI and a rule engine that continuously evolves based on fraud trends and...


Twelve Labs multimodal foundation models create powerful vector embeddings that enable downstream applications. Our Marengo model understands video natively and is able to identify and interpret movements, actions, objects, individuals, sounds, on-screen text, and spoken words just like humans,...