Unite.AI

SEPTEMBER 18, 2023

Deep learning frameworks can be classified into two categories: Supervised learning, and Unsupervised learning. On the basis of research findings, technical approaches, and application scenarios, they can be classified into three categories. Once the registration of the entity is completed, credentials are stored in the memory.

Deep Learning 321

Deep Learning Artificial Intelligence Artificial Intelligence AI 321

Viso.ai

FEBRUARY 28, 2023

Body, hand, or facial movements can be recognized and categorized to assign a pre-defined category. Some people are aware of niche applications in safety monitoring, unmanned flying vehicles (drones), or biomedical analysis.

Computer Vision 52

Computer Vision Automation Algorithm Deep Learning 52

Google Research AI blog

MARCH 23, 2023

This is done by taking the union of binary-thresholded detection maps over a list of landmark categories that the robot can or cannot traverse (such as "tables", "chairs", "walls", etc.). For example, "tables" are obstacles for a large mobile robot, but may be traversable for a drone. See the paper for more details.

Robotics 114

Robotics Cognitive Map 114

IBM Journey to AI blog

SEPTEMBER 20, 2023

These can broadly be described in two categories: Time/cost to deploy: Each deployment consists of several layers of hardware and software that need to be installed, configured and tested prior to deployment. Value proposition for FM finetuning and inference at the operational edge with an edge-in-a-box.

Large Language Models 225

Large Language Models DevOps AI Modeling Automation 225

Viso.ai

FEBRUARY 25, 2023

Semantic image segmentation of aerial drone images. Also, images collected by drones (UAVs) have been segmented using Deep Learning based techniques, offering the opportunity to address important environmental problems related to climate change. This process is also called pixel-level classification.

Deep Learning 52

Deep Learning Computer Vision Convolutional Neural Networks Neural Network 52

Marktechpost

DECEMBER 24, 2023

The authors catalog various datasets crucial for machine learning in leaf disease classification, spanning single-species and multi-species categories. Smart glasses and drones, equipped with pre-trained models, excel in identifying leaf diseases in real time.

Machine Learning 119

Machine Learning Convolutional Neural Networks Neural Network Deep Learning 119

Viso.ai

DECEMBER 10, 2023

Image Recognition is the task of identifying objects of interest within an image and recognizing which category the image belongs to. On the other hand, image recognition is the task of identifying the objects of interest within an image and recognizing which category or class they belong to. Get a personalized demo.

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

Viso.ai

APRIL 29, 2024

It consists of over 14 million hand-annotated images with over 20,000 categories. Disaster Management: Rescue teams use the model for disaster assessment and making emergency relief decisions using images from satellites and drones. ImageNet – source ImageNet is a vast visual database designed for object recognition research.

Deep Learning 52

Deep Learning Neural Network Convolutional Neural Networks Machine Learning 52

Cold Takes

JANUARY 13, 2023

At some point, there are AIs that closely manage major companies’ financials, AIs that write major companies’ business plans, AIs that work closely with politicians to propose and debate laws, AIs that manage drone fleets and develop military strategy, etc. More intense warning signs.

AI 59

AI AI Robotics AI Developer 59

AWS Machine Learning Blog

OCTOBER 4, 2023

It includes a representative collection of all important diagnostic categories in the realm of pigmented lesions. We showcase how to simplify image classification for multiple skin cancer categories without writing any code using Amazon SageMaker Canvas.

Computer Vision 86

Computer Vision ML Natural Language Processing Categorization 86