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Tag: Object
MYSTERY TRACKERS BLACK ISLE Collector’s Edition Hidden Object PC Game NEW
MYSTERY TRACKERS BLACK ISLE Collector’s Edition Hidden Object PC Game NEW
Price : 19.00
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Uncover the secrets of the Black Isle in this thrilling new hidden object game!Join the Mystery Trackers team as they investigate a mysterious disappearance on the infamous Black Isle. With stunning graphics, challenging puzzles, and a gripping storyline, you’ll be hooked from the very beginning.
This Collector’s Edition includes bonus gameplay, a strategy guide, wallpapers, and more to enhance your gaming experience. Don’t miss out on this exciting adventure – get your hands on the MYSTERY TRACKERS BLACK ISLE Collector’s Edition now!
#HiddenObjectGame #MysteryTrackers #BlackIsle #PCGame #CollectorEdition #NewRelease
#MYSTERY #TRACKERS #BLACK #ISLE #Collectors #Edition #Hidden #Object #Game,windows black editionSAMSUNG 83-Inch Class OLED 4K S90C Series Quantum HDR, Dolby Atmos Object Tracking Sound Lite, Ultra Thin, Q-Symphony 3.0, Gaming Hub, Smart TV with Alexa Built-in (QN83S90C, 2023 Model)
Price: $3,497.99
(as of Jan 22,2025 17:29:44 UTC – Details)
Prepare to be captivated. Whether you prefer dramatic thrillers or fantasy football, lose yourself in the viewing adventure with a contrast-rich picture. Let your picture do the talking with the sleek and thin LaserSlim design. You’ll see pure blacks, bright whites and dramatic color, while the audio pulls you into the action thanks to Dolby Atmos® built-in and Object Tracking Sound Lite. The Samsung OLED experience doesn’t stop there—shifting adventures is a breeze with access to the latest Smart TV apps and Samsung Gaming Hub.*** *Utilizes AI-Based formulas. **S90C 55″ – 77″ have Quantum HDR OLED. ***Q-Series and S-Series soundbars sold separately. ****S90C 55″ – 77” have Motion Xcelerator Turbo Pro (up to 144hz with compatible PC-connected content). *****High speed internet connection, additional gaming service subscriptions and compatible controller required.
SAMSUNG OLED TECHNOLOGY: See movies, games, and more in a whole new light thanks to the mesmerizing picture quality across a full range of gorgeous colors; Only a brand like Samsung can provide incredible detail and unbelievable screen brightness
NEURAL QUANTUM PROCESSOR W/ 4K UPSCALING: If you’re streaming an HD movie, watching sports, or looking at home videos, experience it all transformed into sharp 4K resolution with our high-performance, AI powered processor*
HDR OLED: With fine-tuned brightness and optimized contrast made possible by self-illuminating pixels, your picture is instantly enhanced as HDR OLED analyzes each scene so you can enjoy rich and accurate colors
PANTONE VALIDATED: Enjoy color validated by industry leading experts at Pantone, so that images on the screen look as incredible as they do in real life
DOLBY ATMOS & OBJECT TRACKING SOUND LITE: Keep your ears on the action with Dolby Atmos and virtual top speakers that follow the story; When a dragon swoops across the screen, 3D sound moves along with it thanks to Object Tracking Sound Lite
LASERSLIM DESIGN: On or off, this sleek TV looks beautiful anywhere—with a depth of only 4mm, its virtually bezel-free and with your choice of a near flush-fit wall mount solution or a streamlined Simple Plus Metal stand
Q-SYMPHONY 3.0: Amp up your audio with the greatest duo of all time—Samsung TVs paired with a Samsung soundbar; With Q-Symphony, your TV speakers paired with Q-Series and S-Series soundbar operate as one**
MOTION XCELERATOR TURBO PRO: Motion Xcelerator Turbo Pro creates consistently crisp 4K visuals at blazing-fast speeds up to 120hz and Game Motion Plus goes up to 144hz with compatible PC-connected content
SAMSUNG GAMING HUB: Gaming comes together–bringing the best of console games, streaming games and more–all in one place; Get easier access to games, standalone apps and accessories, get recommendations for other games, adjust settings and more***
SOLAR CELL REMOTE: Turn up the volume on sustainability with the innovative SolarCell Remote; It features a solar panel for charging, as well as other smart features including a built-in microphone to use with your favorite voice assistantCustomers say
Customers appreciate the TV’s quality and picture quality. They describe it as the best OLED they have purchased. However, some customers report issues with cracked screens upon delivery.
AI-generated from the text of customer reviews
Introducing the SAMSUNG 83-Inch Class OLED 4K S90C Series Quantum HDR Smart TV!Get ready to experience TV like never before with the SAMSUNG 83-Inch Class OLED 4K S90C Series Quantum HDR Smart TV. This stunning TV features Dolby Atmos Object Tracking Sound Lite, delivering immersive audio that moves with the action on screen. With an ultra-thin design, this TV will elevate any living room or entertainment space.
The Q-Symphony 3.0 technology enhances your audio experience by synchronizing the TV speakers with your Samsung soundbar for a truly cinematic sound. Plus, with the Gaming Hub, you can easily access all your favorite games and streaming services in one convenient place.
But that’s not all – this Smart TV comes with Alexa built-in, so you can control your TV with just your voice. Say goodbye to remote controls and hello to hands-free entertainment.
Don’t miss out on the ultimate viewing experience – upgrade to the SAMSUNG 83-Inch Class OLED 4K S90C Series Quantum HDR Smart TV today!
#SAMSUNG #83Inch #Class #OLED #S90C #Series #Quantum #HDR #Dolby #Atmos #Object #Tracking #Sound #Lite #Ultra #Thin #QSymphony #Gaming #Hub #Smart #Alexa #Builtin #QN83S90C #Model,gaming hubSAMSUNG 55-Inch CU7000 4K Smart TV HDR10+ Crystal Processor Bluetooth Q-Symphony Gaming Hub Object Tracking Sound Lite Compatible with Alexa & Google Assistant, 2023 Model (Renewed)
Price: $479.96
(as of Jan 22,2025 15:43:32 UTC – Details)
True-to-life color. Effortless connectivity. Dazzling 4K value. Samsung Crystal UHD is worth a look (and more). Effortlessly access TV shows, movies and ambient content using the Samsung Smart Hub, or find a range of great games on the Samsung Gaming Hub.¹ Enjoy content even more clear than it was created as it’s upgraded to 4K resolution.
True-to-life color: Effortless connectivity. Dazzling 4K value. Samsung Crystal UHD is worth a look (and more). Effortlessly access TV shows, movies and ambient content using the Samsung Smart Hub, or find a range of great games on the Samsung Gaming Hub.
PurColor: Perceive a wider spectrum of colors than traditional RGB models with PurColor. From the green turf on the football field to an amazing sunset straight from the big screen, you’ll enjoy true-to-life picture quality with our innovative color technology that electronically adjusts and optimizes the colors on screen.
Motion Xcelerator: Stay cool in the driver’s seat. Don’t let the action pass by in a blur. Now you can fuel your need for speed with high-intensity sports, movies and games, and enjoy crisp and clear details at the same time. Samsung Gaming Hub: Where gaming comes together.¹ Stream your favorite games right from your TV. No console required.
Mega Contrast HDR: Every frame appears more natural, and a feeling of depth is added as contrast is dialed up in the foreground. Incredible details are revealed, drawing your eyes to the most important parts of whatever you’re watching.
Samsung Smart TV Hub: Finding what everyone wants to watch is effortless with the easy-to-use Samsung Smart TV Hub. Movies, TV show and games are all available on a home screen tailored to you.
Looking for a top-of-the-line TV experience without breaking the bank? Look no further than the Samsung 55-Inch CU7000 4K Smart TV! This renewed 2023 model boasts all the latest features you could want in a TV, including HDR10+ for stunning picture quality, a Crystal Processor for lightning-fast performance, Bluetooth connectivity for easy streaming from your devices, and Q-Symphony for immersive sound.But that’s not all – this TV is also a gaming hub, with a dedicated gaming mode that optimizes settings for a smooth and responsive gaming experience. Plus, Object Tracking Sound Lite technology ensures that the audio follows the action on screen, making you feel like you’re right in the middle of the action.
And with compatibility with Alexa and Google Assistant, you can control your TV with just your voice – no need to fumble for the remote. Don’t miss out on this incredible deal – upgrade your home entertainment system with the Samsung 55-Inch CU7000 4K Smart TV today!
#SAMSUNG #55Inch #CU7000 #Smart #HDR10 #Crystal #Processor #Bluetooth #QSymphony #Gaming #Hub #Object #Tracking #Sound #Lite #Compatible #Alexa #Google #Assistant #Model #Renewed,gaming hub
DJI Osmo Mobile 6 Gimbal Stabilizer for Smartphones, 3-Axis Phone Gimbal, Built-In Extension Rod, Object Tracking, Portable and Foldable, Vlogging Stabilizer, YouTube TikTok, Slate Gray
Price: $135.90
(as of Dec 30,2024 06:43:24 UTC – Details)
OverviewThis intelligent gimbal is lightweight and compact. Simply unfold to start filming smooth dynamic footage. With the built-in extension rod, you can include more friends in the photo and take the perfect selfie. A whole host of intelligent features are at your fingertips, including ShotGuides to help capture the scenario you’re in or creative features like Timelapse. Use the DJI Mimo to add the final touches to your content and share. DJI Osmo Mobile 6 is the ultimate creative tool to elevate your creations on the go.
Features
A new status display panel: Check how much battery you have left, system indicator status, or which gimbal mode you’re in. The M button makes it easy to switch between different modes and get unique with your shots.
Flip between horizontal and vertical: It’s as effortless as double-clicking the switch button to go from horizontal to vertical shooting.
Notes
1. Auto pop-ups on the DJI Mimo app are only supported on iPhone and are subject to actual circumstances. When using DJI Osmo Mobile 6 for the first time, enable Quick Launch in the DJI Mimo app and follow the instructions to complete authorization.
2. Tested when following a single subject.
3. LightCut is a smartphone editing app recommended by DJI.
4. Currently, only Apple Watch is supported (Apple Watch Series 7/8/9, Apple Watch SE 2, Apple Watch Ultra 1/2, with an operating system of watchOS 9 or later).
* Due to platform compatibility issue, the DJI Mimo app has been removed from Google Play. You cannot search for DJI Mimo in Google Play. To ensure a better product usage experience, please log in to the DJI official website to download the latest version of DJI Mimo.
Stay on Point with ActiveTrack 6.0 – With upgraded tracking tech, OM 6 sticks to your energetic kids or playful pets like glue. You can even make it track yourself. Become the star of your own film without needing anyone’s help.
Remote Control With Watch – Install the DJI Mimo app on your Apple Watch, and turn it into a smart remote for Osmo Mobile 6. Remotely view camera feeds, adjust the gimbal’s angle, and capture photos and record videos all from your watch.
Silky Smooth Shots with 3-Axis Stabilization – You know what ruins videos? Shaky footage. DJI OM 6 is here to help. This phone gimbal ensures super steady shots, even when you’re on the move. Say hello to buttery-smooth videos.
So quick, So easy – This smartphone stabilizer powers on as soon as you unfold it. Just attach your phone, and you are ready to shoot. Catch that breathtaking sunset or your child’s smile without missing a beat.
Lightweight, Compact, and Extendable – With a foldable design and weighing only 305g, this cell phone gimbal stabilizer is easy to take anywhere. Extend the built-in extension rod to get creative angles or the perfect selfie.
Shoot Like a Pro, Even If You’re a Newbie – OM 6’s ShotGuides recognizes your scene and suggests a shot sequence. From romantic outings to picnics, follow the steps to easily create stunning films, even if it’s your first time.
Use Side Wheel to Get Cinematic Effects – The side wheel gives you power over focus and zoom. Nail that cinematic blur or try a Hitchcock zoom for some dramatic flair. Up your video game and impress your friends with high-quality videos.
The gimbal is stain resistant and coated in a non-slip texture, with an ergonomic grip that will keep it secure in your hands. It’s compatible with most iPhone, Samsung Galaxy, and Huawei series. Please check the compatibility list before purchasing.
New Parents and Kids Mode – Capture and record heartwarming moments with your child as the gimbal autonomously shoots and records, allowing parents to be present in the frame.
Due to platform compatibility issue, the DJI Mimo app has been removed from Google Play. You cannot search for DJI Mimo in Google Play. To ensure a better product usage experience, please log in to the DJI official website to download the latest version of DJI Mimo.Customers say
Customers find the gimbal to be a good device with excellent stabilization. They appreciate its compact size and portability. The 3-axis stabilization works flawlessly, keeping footage smooth and steady. Many find it portable and lightweight, making it simple to carry around. Customers also like the build quality and video quality. However, some customers have mixed opinions on ease of use, functionality, and value for money.
AI-generated from the text of customer reviews
Introducing the DJI Osmo Mobile 6 Gimbal Stabilizer – the ultimate tool for creating smooth and professional-looking videos with your smartphone! This 3-axis phone gimbal is perfect for vloggers, YouTubers, and TikTok creators who want to take their content to the next level.With a built-in extension rod, object tracking capabilities, and a sleek slate gray design, the Osmo Mobile 6 is not only functional but also stylish. Its portable and foldable design makes it easy to take on the go, so you can capture stunning footage wherever you are.
Whether you’re shooting on the move or setting up a stationary shot, this gimbal stabilizer will help you achieve steady and cinematic results every time. Say goodbye to shaky footage and hello to smooth, professional-looking videos with the DJI Osmo Mobile 6 Gimbal Stabilizer. Get yours today and elevate your content creation game!
#DJI #Osmo #Mobile #Gimbal #Stabilizer #Smartphones #3Axis #Phone #Gimbal #BuiltIn #Extension #Rod #Object #Tracking #Portable #Foldable #Vlogging #Stabilizer #YouTube #TikTok #Slate #Gray,mobile
High-Level Vision: Object Recognition and Visual Cognition – Paperback – GOOD
High-Level Vision: Object Recognition and Visual Cognition – Paperback – GOOD
Price : 8.38
Ends on : N/A
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Are you interested in learning more about high-level vision, object recognition, and visual cognition? Look no further than this comprehensive paperback book, “High-Level Vision: Object Recognition and Visual Cognition.”This book delves into the fascinating world of how the human brain processes and recognizes objects in our environment. From understanding how our brains interpret visual stimuli to exploring the latest research in the field of cognitive psychology, this book covers it all.
Written by experts in the field, this paperback is perfect for students, researchers, and anyone curious about the mysteries of the human mind. Get your hands on a copy today and expand your knowledge of high-level vision and visual cognition.
#HighLevel #Vision #Object #Recognition #Visual #Cognition #Paperback #GOOD
Deep Learning with Applications Using Python : Chatbots and Face, Object, and…
Deep Learning with Applications Using Python : Chatbots and Face, Object, and…
Price : 68.34
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RecognitionIn this post, we will explore the exciting world of deep learning with applications using Python. Specifically, we will delve into the fascinating fields of chatbots and face, object, and image recognition.
Chatbots have become increasingly popular in recent years, with many businesses using them to provide customer service and support. Deep learning techniques can be used to create chatbots that are more intelligent and responsive, providing a more personalized experience for users.
Face recognition is another area where deep learning has made significant advancements. With the use of convolutional neural networks (CNNs), it is now possible to accurately identify faces in images and videos, even in challenging conditions such as poor lighting or occlusions.
Object recognition is another important application of deep learning, with algorithms now able to accurately classify and localize objects in images. This has many practical applications, from self-driving cars to security systems.
In this post, we will provide an overview of the theory behind deep learning and how it can be applied to the fields of chatbots and face, object, and image recognition. We will also provide hands-on examples using Python and popular deep learning libraries such as TensorFlow and Keras.
So, if you’re interested in learning more about how deep learning can be used to create intelligent chatbots and accurate face, object, and image recognition systems, stay tuned for our upcoming posts!
#Deep #Learning #Applications #Python #Chatbots #Face #Object #and..
Object Detection and Classification on Satellite Imagery: Using Computer Vision and A.I.
Price: $48.00
(as of Dec 28,2024 02:43:02 UTC – Details)
Publisher : LAP LAMBERT Academic Publishing (July 20, 2023)
Language : English
Paperback : 52 pages
ISBN-10 : 6206751015
ISBN-13 : 978-6206751014
Item Weight : 3.39 ounces
Dimensions : 5.91 x 0.12 x 8.66 inches
Object Detection and Classification on Satellite Imagery: Using Computer Vision and A.I.Satellite imagery has become an invaluable tool for a wide range of applications, from urban planning to disaster response. One of the key challenges in analyzing satellite imagery is the detection and classification of objects within the images. This task can be time-consuming and labor-intensive when done manually, which is where computer vision and artificial intelligence (A.I.) come into play.
Computer vision algorithms can be trained to automatically detect and classify objects within satellite imagery, such as buildings, roads, and vegetation. By leveraging A.I. technologies, these algorithms can learn to recognize patterns and features within the images, allowing for more efficient and accurate object detection and classification.
One common approach to object detection and classification on satellite imagery is through the use of convolutional neural networks (CNNs). CNNs are a type of deep learning algorithm that is well-suited for analyzing visual data, making them ideal for tasks like object detection in images. By training a CNN on a large dataset of labeled satellite imagery, the algorithm can learn to identify and classify objects with high accuracy.
In addition to CNNs, other computer vision techniques such as image segmentation and feature extraction can also be used to enhance object detection and classification on satellite imagery. These techniques can help to further refine the detection and classification process, leading to more precise results.
Overall, the combination of computer vision and A.I. technologies holds great potential for improving object detection and classification on satellite imagery. By automating this process, researchers and analysts can save time and resources, while also gaining valuable insights from the vast amount of data that satellite imagery provides.
#Object #Detection #Classification #Satellite #Imagery #Computer #Vision #A.I
Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments
Price:$107.30– $90.52
(as of Dec 27,2024 06:38:42 UTC – Details)
Publisher : Mdpi AG (August 24, 2021)
Language : English
Hardcover : 454 pages
ISBN-10 : 3036512683
ISBN-13 : 978-3036512686
Item Weight : 2.59 pounds
Dimensions : 6.69 x 1.38 x 9.61 inches
With the rapid advancements in technology, smart sensor environments are becoming more prevalent in various industries such as healthcare, transportation, and security. These environments rely on advanced computational intelligence techniques for object detection, feature extraction, and recognition to make informed decisions in real-time.Object detection is a crucial task in smart sensor environments as it allows the system to identify and track objects of interest. Techniques such as deep learning-based algorithms, like Convolutional Neural Networks (CNNs), are commonly used for object detection due to their ability to learn complex patterns from large datasets.
Feature extraction is another important step in the process of analyzing sensor data. It involves identifying relevant information from raw data to improve the accuracy and efficiency of the system. Feature extraction techniques like Principal Component Analysis (PCA) and Local Binary Patterns (LBP) can help in extracting meaningful features from sensor data for further analysis.
Recognition is the final stage in the process, where the system identifies and categorizes objects based on the extracted features. This can involve tasks like facial recognition, object classification, and gesture recognition. Advanced computational intelligence techniques, such as Support Vector Machines (SVM), k-Nearest Neighbors (k-NN), and Random Forests, are commonly used for recognition tasks in smart sensor environments.
Overall, advanced computational intelligence plays a crucial role in enhancing the capabilities of smart sensor environments for object detection, feature extraction, and recognition. With the ongoing research and development in this field, we can expect to see even more sophisticated and efficient systems in the near future.
#Advanced #Computational #Intelligence #Object #Detection #Feature #Extraction #Recognition #Smart #Sensor #Environments
The Python Bible Volume 7: Computer Vision (OpenCV, Object Recognition)
Price: $3.99
(as of Dec 27,2024 05:34:39 UTC – Details)
Are you ready to take your Python skills to the next level? Look no further than The Python Bible Volume 7: Computer Vision (OpenCV, Object Recognition). In this comprehensive guide, you’ll learn how to use the powerful OpenCV library to perform image processing and object recognition tasks with ease.Whether you’re a beginner looking to dive into the world of computer vision or a seasoned Python developer seeking to expand your skill set, this book is for you. From basic image manipulation techniques to advanced object detection algorithms, The Python Bible Volume 7 has everything you need to become a proficient computer vision programmer.
Don’t miss out on this invaluable resource. Get your hands on The Python Bible Volume 7: Computer Vision (OpenCV, Object Recognition) today and start creating cutting-edge applications that push the boundaries of what’s possible with Python.
#Python #Bible #Volume #Computer #Vision #OpenCV #Object #Recognition
Deep Learning for Crack-Like Object Detection (CRC Focus)
Price:$61.99– $44.88
(as of Dec 27,2024 03:08:52 UTC – Details)
Publisher : CRC Press; 1st edition (March 20, 2023)
Language : English
Hardcover : 100 pages
ISBN-10 : 1032181184
ISBN-13 : 978-1032181189
Item Weight : 7.4 ounces
Dimensions : 0.29 x 5.43 x 8.5 inches
Deep Learning for Crack-Like Object Detection (CRC Focus)Cracks in structures can be a serious issue, leading to safety hazards and costly repairs. Detecting cracks early on is crucial for preventing further damage and ensuring the structural integrity of buildings, bridges, and other infrastructure.
In recent years, deep learning has emerged as a powerful tool for crack detection in images. By training neural networks on large datasets of images containing cracks, researchers have been able to develop more accurate and efficient algorithms for identifying cracks in various materials.
In this post, we will explore the latest advancements in deep learning for crack-like object detection, with a focus on the construction, roads, and civil engineering (CRC) industries. We will discuss the challenges faced in crack detection, the different types of deep learning models used, and the potential applications of this technology in improving infrastructure maintenance and safety.
Stay tuned for a deep dive into the world of deep learning for crack-like object detection, and learn how this cutting-edge technology is revolutionizing the way we detect and repair cracks in structures.
#Deep #Learning #CrackLike #Object #Detection #CRC #Focus
