There are many video datasets that can help with machine learning. YouTube-8M segments, CIFAR100, CODAHCODAH or TACO are just a few examples. Below is a listing of each. Our website has more information. Please let us know your opinions! Let us know in the comments section! Also, don't miss our list of the most popular video datasets.
CIFAR-100
Images in the CIFAR-100 video datasets are categorized according to WordNet. These images have hyperlinks that describe each pixels. These datasets were created to meet two fundamental needs in computer vision and to support general machine learning techniques. CIFAR-100 is not the only dataset. The BDD-100K driving dataset for independent multitasklearning, which includes ten tasks and 100K video clips, is also available. This dataset is being used to estimate progress in the development of image recognition algorithms for autonomous vehicles.
YouTube-8M Segments
If you're looking for a new dataset for your machine learning project, YouTube-8M is a large labeled video dataset containing millions of YouTube video IDs. These videos are labeled using high-quality machine-generated annotations as well as audio-visual features. The data is organized into segment-level data points, each measuring 5 seconds in length. The dataset can be used in a very simple way: just deploy a CloudFormation templates to create a few AWS Glue Catalog entry entries.
CODAHCODAH
Machine learning applications that use video content analysis require specific types of data in order for their models to be trained. Many public video datasets do not meet these requirements because they lack diversity, low numbers, or are difficult to use for training algorithms. Here are some ways to choose the best data for machine-learning applications. Identify the source data. YouTube videos include many different content, including news and sports.
TACO
This paper describes a machine-learning method to recognize natural sentences in TACO video data. This framework uses contextual information to find video segments that corresponds to a given naturally-language sentence. This method outperforms state-of-the-art approaches. It can be used to perform machine learning and speech detection, among other things. We will discuss its key characteristics and show its effectiveness using the TACO video datasets.
CMU-MOSEI
The Multimodal Corpus of Sentiment Intensity (CMU-MOSI) is a huge dataset of 2199 opinion videos annotated with subjectivity and various visual and audio features. This dataset is rich and useful for machine learning research. It has annotated videos for every frame. This dataset is the largest in its type and contains a large number of emotion labels.
Facebook BISON
Facebook's BISON videos dataset focuses on finer visual grounding. It is not the COCO Captions dataset. This dataset complements COCO Captions. It measures the ability of systems and linguistic content to be compared to visual content. BISON is used in evaluations of caption-based retrieval systems and captioning systems, and it demonstrates that visual-grounding systems can outperform humans.
FAQ
What are some examples AI-related applications?
AI is being used in many different areas, such as finance, healthcare management, manufacturing and transportation. Here are just some examples:
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Finance - AI is already helping banks to detect fraud. AI can identify suspicious activity by scanning millions of transactions daily.
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Healthcare – AI helps diagnose and spot cancerous cell, and recommends treatments.
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Manufacturing - AI in factories is used to increase efficiency, and decrease costs.
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Transportation - Self-driving vehicles have been successfully tested in California. They are being tested across the globe.
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Utilities use AI to monitor patterns of power consumption.
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Education - AI is being used for educational purposes. Students can use their smartphones to interact with robots.
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Government – AI is being used in government to help track terrorists, criminals and missing persons.
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Law Enforcement - AI is used in police investigations. The databases can contain thousands of hours' worth of CCTV footage that detectives can search.
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Defense - AI can be used offensively or defensively. Artificial intelligence systems can be used to hack enemy computers. Protect military bases from cyber attacks with AI.
Is Alexa an Ai?
The answer is yes. But not quite yet.
Alexa is a cloud-based voice service developed by Amazon. It allows users speak to interact with other devices.
The technology behind Alexa was first released as part of the Echo smart speaker. Other companies have since created their own versions with similar technology.
These include Google Home as well as Apple's Siri and Microsoft Cortana.
Who is the current leader of the AI market?
Artificial Intelligence (AI) is an area of computer science that focuses on creating intelligent machines capable of performing tasks normally requiring human intelligence, such as speech recognition, translation, visual perception, natural language processing, reasoning, planning, learning, and decision-making.
Today there are many types and varieties of artificial intelligence technologies.
Much has been said about whether AI will ever be able to understand human thoughts. But, deep learning and other recent developments have made it possible to create programs capable of performing certain tasks.
Google's DeepMind unit, one of the largest developers of AI software in the world, is today. Demis Hassabis was the former head of neuroscience at University College London. It was established in 2010. DeepMind, an organization that aims to match professional Go players, created AlphaGo.
How will AI affect your job?
AI will eradicate certain jobs. This includes drivers of trucks, taxi drivers, cashiers and fast food workers.
AI will create new employment. This includes business analysts, project managers as well product designers and marketing specialists.
AI will make it easier to do current jobs. This includes doctors, lawyers, accountants, teachers, nurses and engineers.
AI will make it easier to do the same job. This applies to salespeople, customer service representatives, call center agents, and other jobs.
What is the state of the AI industry?
The AI industry is growing at an unprecedented rate. The internet will connect to over 50 billion devices by 2020 according to some estimates. This means that everyone will be able to use AI technology on their phones, tablets, or laptops.
This means that businesses must adapt to the changing market in order stay competitive. They risk losing customers to businesses that adapt.
This begs the question: What kind of business model do you think you would use to make these opportunities work for you? You could create a platform that allows users to upload their data and then connect it with others. Maybe you offer voice or image recognition services?
Whatever you decide to do, make sure that you think carefully about how you could position yourself against your competitors. While you won't always win the game, it is possible to win big if your strategy is sound and you keep innovating.
Statistics
- Additionally, keeping in mind the current crisis, the AI is designed in a manner where it reduces the carbon footprint by 20-40%. (analyticsinsight.net)
- According to the company's website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations. (builtin.com)
- A 2021 Pew Research survey revealed that 37 percent of respondents who are more concerned than excited about AI had concerns including job loss, privacy, and AI's potential to “surpass human skills.” (builtin.com)
- More than 70 percent of users claim they book trips on their phones, review travel tips, and research local landmarks and restaurants. (builtin.com)
- In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
External Links
How To
How to set Amazon Echo Dot up
Amazon Echo Dot, a small device, connects to your Wi Fi network. It allows you to use voice commands for smart home devices such as lights, fans, thermostats, and more. To start listening to music and news, you can simply say "Alexa". You can ask questions, make calls, send messages, add calendar events, play games, read the news, get driving directions, order food from restaurants, find nearby businesses, check traffic conditions, and much more. You can use it with any Bluetooth speaker (sold separately), to listen to music anywhere in your home without the need for wires.
Your Alexa enabled device can be connected via an HDMI cable and/or wireless adapter to your TV. An Echo Dot can be used with multiple TVs with one wireless adapter. You can also pair multiple Echos at one time so that they work together, even if they aren’t physically nearby.
Follow these steps to set up your Echo Dot
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Turn off your Echo Dot.
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Use the built-in Ethernet port to connect your Echo Dot with your Wi-Fi router. Make sure to turn off the power switch.
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Open Alexa for Android or iOS on your phone.
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Select Echo Dot among the devices.
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Select Add a new device.
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Select Echo Dot (from the drop-down) from the list.
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Follow the instructions on the screen.
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When prompted, enter the name you want to give to your Echo Dot.
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Tap Allow access.
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Wait until Echo Dot has connected successfully to your Wi Fi.
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Do this again for all Echo Dots.
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Enjoy hands-free convenience