Marktechpost

NOVEMBER 29, 2023

SLAM involves reconstructing the surrounding environment and estimating a moving camera’s trajectory at the same time. SLAM has some incredible algorithms that are able to estimate camera trajectories precisely and produce excellent geometric reconstructions. The researchers have summarized the primary contributions as follows.

Deep Learning 107

Deep Learning Artificial Intelligence Artificial Intelligence Robotics 107

Unite.AI

JANUARY 23, 2024

To be more specific, the model first uses different camera views to render the depth map, then uses depth conditions to sample images from the image diffusion model, and then back-projects these images onto the mesh surface. The model then samples a texture image for an appearance condition and a depth condition.

Generative AI 288

Generative AI AI Modeling AI AI 288

Marktechpost

JULY 24, 2023

GANs, on the other hand, are specialized to a single item category, which restricts the variety of outcomes and makes scene-level text-to-3D conversion difficult. In contrast, text-to-3D generation utilizing diffusion models allows users to urge the creation of 3D objects from a wide range of categories.

AI Researcher 89

AI Researcher AI Research ML Large Language Models 89

Flipboard

NOVEMBER 22, 2023

More AI analysis-ready datasets on the Registry of Open Data The Multi-robot, Multi-Sensor, Multi-Environment Event Dataset (M3ED ) is the first multi-sensor event camera dataset focused on high-speed dynamic motions in robotics applications. Continue reading for inspiration.

Robotics 84

Robotics Machine Learning Metadata ML 84

Marktechpost

OCTOBER 20, 2023

Multimodal graph learning is also used in autonomous vehicles to combine data from various sensors, such as cameras, LiDAR, radar, and GPS, to enhance perception and make informed driving decisions. Each modality represents a specific category or aspect of data and can take different forms.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence Neural Network Machine Learning 130

Marktechpost

NOVEMBER 12, 2023

Existing approaches generally fall under the following two categories: High-fidelity view synthesis with a small headbox of diameter less than 1 m restricts the user’s movement to a small area. The multi-camera rig used by the researchers is a one-of-a-kind device that captures numerous uniformly distributed HDR photos of a scene.

AI 110

AI AI AI Researcher AI Research 110

Marktechpost

AUGUST 21, 2023

This auto decoder maps a 1D vector to each object, removing the need for 3D supervision and catering to a wide range of object categories. Moreover, 3DVADER accommodates datasets spanning multiple categories of diverse objects, which tackles the scalability problem. 3DVADER can generate 3D objects.

AI Modeling 95

AI Modeling AI AI AI Researcher 95

Flipboard

SEPTEMBER 27, 2023

Scaled Foundations Photo) Scaled Foundations has a similar approach to Seattle startup Groundlight , which taps into a company’s network of cameras to gather real-time data using computer vision and AI. A rendering of a wildfire detection scene in the startup’s AirGen simulator, orchestrated by its GRID platform.

Robotics 117

Robotics ChatGPT Computer Vision OpenAI 117

Marktechpost

DECEMBER 9, 2023

Unlike previous works relying on videos or specific categories, LivePhoto uses text as a flexible control for generating customized videos across universal domains. The study addresses limitations in existing image animation methods by presenting LivePhoto, a practical system enabling users to animate images with text descriptions.

AI Researcher 95

AI Researcher AI Research Data Quality AI 95

Unite.AI

APRIL 4, 2024

Videoleap Key Features Videoleap's features can be divided into three categories: AI Tools, Editing Tools, and Customizable Templates. I'll discuss the tools in each category so you know what Videoleap is capable of. I uploaded a video from my camera roll, selected “AI Editor,” and hit “Continue.”

Auto-complete 147

Auto-complete AI Tools AI AI 147

IBM Journey to AI blog

OCTOBER 16, 2023

Filtering email ML algorithms in Google’s Gmail automate filtering customers’ email into Primary, Social and Promotions categories while also detecting and rerouting spam to a spam folder. Companies also take advantage of ML in smartphone cameras. Computer vision fuels self-driving cars.

Machine Learning 124

Machine Learning ML Algorithm Chatbots 124

Viso.ai

APRIL 25, 2024

This can happen when labels don’t reflect the true content of the image, or when the label categories themselves are vague or misleading. For example, label bias can include negative set bias where labels fail to represent the full diversity of a category: non-white in a binary feature as white people and non-white/people of color.

Computer Vision 52

Computer Vision Categorization Algorithm Explainability 52

Robot Writers AI

NOVEMBER 12, 2023

Security Camera Writes Descriptions of What It Sees: Psync Labs has added new meaning to 24/7 surveillance with a new camera that writes about what it sees. ” *Can I Get a Witness?:

ChatGPT 106

ChatGPT OpenAI AI Chatbots Robotics 106

Viso.ai

APRIL 18, 2024

Step 3 (Classification): Once the objects are labeled, the background and objects are then classified into distinct categories (such as “car,” “person,” and “road”). Semantic Segmentation Semantic segmentation focuses on classifying each pixel in an image into a specific category.

Computer Vision 52

Computer Vision Robotics Deep Learning Algorithm 52

ML @ CMU

JUNE 30, 2023

Object Goal Navigation We instantiate semantic navigation with the Object Goal navigation task [ Anderson 2018 ], where a robot starts in a completely unseen environment and is asked to find an instance of an object category, let’s say a toilet. Empirical study: We evaluate 3 approaches in 6 unseen homes with 6 goal object categories.

Robotics 88

Robotics Neural Network Explainability Machine Learning 88

Viso.ai

DECEMBER 3, 2023

A wide range of cameras can be used, including commercial security and CCTV cameras. An example frame of a commercial real-time application with AI recognition on the stream of IP cameras, built on Viso Suite. Deep Learning based object detection for vehicles (cars, trucks, bikes, etc.). Find the official GitHub here.

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

Marktechpost

JULY 15, 2023

The 2D picture generator, in the first place, has a propensity to generate accurate and pristine examples of the object category, implicitly curating the training data and streamlining learning. This provides several benefits. Farm3D is based on two significant technical innovations.

AI Tools 71

AI Tools AI AI AI Researcher 71

Mlearning.ai

JANUARY 27, 2023

Annotation is the process where you want to mark a mask or bounding box around your target in an image in order to teach your model about the features of categories. link] ★ DROID-SLAM : DROID-SLAM consists of recurrent iterative updates of camera pose and pixelwise depth through a Dense Bundle Adjustment layer.

Computer Vision 98

Computer Vision Deep Learning Python Neural Network 98

Flipboard

JULY 31, 2023

Image classification involves assigning a label to an image from a predetermined set of categories. For instance, the machine learning model aims to accurately determine whether the image is of a cat, dog, or bird in an image classification task with those categories. So, what makes semantic segmentation unique?

Machine Learning 104

Machine Learning Computer Vision Deep Learning Convolutional Neural Networks 104

Marktechpost

DECEMBER 4, 2023

With SODA, seamless transitions between images and semantic attributes are made possible, allowing for interpolation and morphing across various image categories. SODA’s versatility is evident in its ability to generate novel views, transition semantic attributes, and handle richer conditional information such as camera perspective.

AI Researcher 56

AI Researcher AI Research ML AI Modeling 56

PyImageSearch

DECEMBER 19, 2022

Whether you want to create a color camera , neural network , or XLinkOut for camera and neural network output, all of these are created as Nodes inside the pipeline. For example, the OAK device Camera to capture still images receives a message through an XLinkIn node. Messages can be created on both device and the host.

Neural Network 52

Neural Network Computer Vision Deep Learning Metadata 52

Viso.ai

DECEMBER 19, 2023

Computer Vision Application for mango plant disease classification in Agriculture The need for AI to understand image data Since the vast amount of image data we obtain from cameras and sensors is unstructured, we depend on advanced techniques such as machine learning algorithms to analyze the images efficiently.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 98

ML @ CMU

SEPTEMBER 15, 2023

For example on the left, we visualize images from the ImageNet Chair category, and on the right, we visualize the ObjectNet chair category. For instance, camera pose changes, occlusions, and changes in scene configuration. For point clouds, we train the model using certain categories of PartNet and test it using a different set.

Machine Learning 84

Machine Learning Continuous Learning Algorithm Computer Vision 84

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

Artificial Corner

JULY 11, 2023

AI systems utilizing green technology optimize traffic flow using real-time traffic camera, GPS, and sensor data. There are several aspects included in this category, including public transportation, green spaces, and renewable energy systems. Sensors, cameras, and systems generate a lot of data, which needs to be carefully annotated.

Artificial Intelligence 58

Artificial Intelligence Artificial Intelligence Algorithm AI 58

Viso.ai

FEBRUARY 28, 2023

OpenCV is often used in factory product inspection, medical imaging, security analysis, human-machine interface, camera calibration, stereo vision (3D vision), and robotic vision. This allows teams to use OpenCV faster and facilitates integration with different hardware such as cameras, edge computers, and machine learning models.

Computer Vision 52

Computer Vision Automation Algorithm Deep Learning 52

Robot Writers AI

DECEMBER 31, 2023

Security Camera Writes Descriptions of What It Sees: Psync Labs has added new meaning to 24/7 surveillance with a new camera that writes about what it sees. Users can also set specific categories, like ‘Person,’ ‘Vehicle,’ ‘Pet’ and will eventually be able to craft tailored alerts, like ‘a dog jumps on the couch.’”

Auto-complete 111

Auto-complete ChatGPT OpenAI AI 111

PyImageSearch

FEBRUARY 6, 2023

The Vegetable Image Dataset comprises 15 vegetable images, with 224×224 color images of 21,000 different vegetables from 15 categories and 1400 images per category. Figure 2 shows 9 of the 15 vegetable image categories from the dataset. Figure 2: Analyzing a few categories from the vegetable image classification dataset.

Auto-classification 144

Auto-classification Computer Vision Neural Network Deep Learning 144

IBM Journey to AI blog

FEBRUARY 9, 2024

“There are cameras that are on 24/7 and they’re capturing what happens just as it happens without any filtering, without any intentionality,” says Peter Norvig, Distinguished Education Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). .”

AI 241

AI AI Generative AI Artificial Intelligence 241

Marktechpost

MAY 10, 2024

Classifying photos and body orientations is a breeze with the help of files, a camera, and short audio samples. Try out the model’s performance with a continuous preview using the camera on your iPhone. Integration with external systems and the capability to create one’s programs fall under this category.

AI Tools 97

AI Tools Machine Learning Artificial Intelligence Artificial Intelligence 97

BAIR

MAY 3, 2022

reliability); and 3) the percentage of novel categories that are detected as low-confidence predictions (i.e., We reported a two-step experiment on a large-scale wildlife camera trap dataset collected from Mozambique National Park for demonstration purposes. sensitivity to novelty).

AI Modeling 148

AI Modeling Automation AI Developer AI Development 148

Google Research AI blog

DECEMBER 13, 2022

camera images, task instructions, and motor commands) to enable efficient inference at runtime, which makes real-time control feasible. A second factor is the lack of expressive, scalable, and fast-enough-for-real-time-inference models that can learn from such datasets and generalize effectively.

Robotics 64

Robotics Natural Language Processing Computer Vision Categorization 64

Google Research AI blog

MARCH 23, 2023

As the robot moves around, VLMaps uses a pre-trained visual-language model to compute dense per-pixel embeddings from posed RGB camera views, and integrates them into a large map-sized 3D tensor aligned with an existing 3D reconstruction of the physical world.

Robotics 114

Robotics Cognitive Map 114

Google Research AI blog

JUNE 6, 2023

With this fine-tuned visual intent prediction model, we developed Visual Captions on the ARChat platform, which can add new interactive widgets directly on the camera streams of video conferencing platforms, such as Google Meet. Technical evaluation results of the visual prediction model rated by study participants.

Large Language Models 69

Large Language Models Auto-complete UX Design Software Engineer 69

AWS Machine Learning Blog

NOVEMBER 15, 2023

This extensive dataset covers a wide range of objects and categories, providing SAM with a diverse and large-scale training data source. The following is a sample image from the training dataset taken from a vehicle’s front camera. It is pre-trained on a massive dataset of 11 million images and 1.1

Prompt Engineer 85

Prompt Engineer Prompt Engineering Computer Vision Machine Learning 85

Unite.AI

MARCH 11, 2024

Step 3: Understand the Photo Requirements Headpix asked me to upload at least 15 selfies following the photo submission requirements for the best results: Upload 15+ headshots of you looking at the camera. Feel free to choose one or multiple options from each category based on your needs! Upper-body photos with your face fully visible.

AI 130

AI AI Artificial Intelligence Artificial Intelligence 130

AWS Machine Learning Blog

MARCH 27, 2024

In this post, we guide you through the process of fine-tuning the Amazon Titan Image Generator model to learn two new categories: Ron the dog and Smila the cat, our favorite pets. We discuss how to prepare your data for the model fine-tuning task and how to create a model customization job in Amazon Bedrock.

Prompt Engineer 81

Prompt Engineer Prompt Engineering Data Scientist Machine Learning 81