Klynk

A tool to create personalized email campaigns.

Segment Anything By Meta

Segment Anything by Meta is a breakthrough AI model that has revolutionized the field of computer vision research. With just a single click, users can now easily segment objects in any image with unparalleled ease and accuracy. What sets this model apart is its unique promptable segmentation system, allowing it to generalize to unfamiliar objects and images without the need for additional training. This capability ensures that users can handle data from a wide range of sources, making Segment Anything by Meta a versatile tool that can be used across various industries. By streamlining the segmentation process, this AI model represents a significant leap forward in the field of computer vision, offering an unprecedented level of speed, accuracy, and flexibility to its users.

ChatSpot

A chatbot tool with HubSpot features.

Vize

AI-powered image analysis platform for segmentation and annotation

Omnisend

Multichannel marketing automation platform for Ecommerce

Caffe

Caffe is an open-source deep learning library written in C++, with support for a wide range of neural network architectures. It is primarily used for image classification, segmentation and object recognition tasks.

Aweber

Email marketing automation platform.

Keap

Integrated CRM, sales & marketing suite

Active Campaign

ActiveCampaign is a CRM and marketing automation platform that allows businesses to automate tasks and personalize customer experiences.

Mask-RCNN

A state-of-the-art deep learning algorithm used for object detection and segmentation.

Audiense

Platform for analyzing audience data, segmenting customers, and building relationships.

Splitforce

Simple A/B testing tool with an easy-to-use interface. Includes features such as targeting and segmentation.

Datagen

Datagen is an innovative AI tool that facilitates the creation of synthetic image datasets for computer vision applications. It offers users the ability to design custom datasets that are tailored to their specific requirements, allowing for precise control over the content. With the help of Datagen, researchers and developers can generate high-quality synthetic images for training machine learning models in a variety of domains, including object detection, segmentation, classification, and more. This cutting-edge tool enables users to save time and resources by eliminating the need for manual data collection and annotation, making it an essential tool for anyone involved in computer vision research or development.

Pixray

GitHub - pixray/pixray