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#Bettermaps Reel by @finzarc.ai - Millions of people thought they were just playing Pokémon GO. They were also helping build one of the largest real-world AI datasets. Over the past
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FI
@finzarc.ai
Millions of people thought they were just playing Pokémon GO. They were also helping build one of the largest real-world AI datasets. Over the past 8+ years, players have been scanning streets, parks, landmarks, and storefronts while catching Pokémon. According to Niantic, this has resulted in 30+ billion images captured from different angles, lighting conditions, and environments. That data is now being used to train visual navigation AI, spatial intelligence systems, and autonomous robotics - the kind of technology that helps delivery robots and AI systems understand and move through the real world. What makes this interesting isn’t just the scale. It’s how the data was collected. Instead of specialized mapping vehicles, it came from millions of everyday users — unintentionally contributing to AI training datasets and real-world mapping systems. Some of the most valuable data for AI and machine learning isn’t always built in labs. Sometimes, it’s collected through products people use every day.
#Bettermaps Reel by @aiintelligencee - Pokémon GO players unknowingly helped build one of the largest AI datasets in the world. Over the past eight years, millions of players scanned stree
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AI
@aiintelligencee
Pokémon GO players unknowingly helped build one of the largest AI datasets in the world. Over the past eight years, millions of players scanned streets, parks, landmarks, and storefronts while simply playing the game. According to Niantic, those scans have created a dataset of over 30 billion real-world images — captured across different angles, lighting conditions, weather, and times of day. That data is now being used to train visual navigation AI, helping robots and autonomous systems better understand and move through real-world environments. What makes this even more powerful is how it was built. Not through fleets of vehicles or controlled labs. But organically — by millions of people interacting with the world while playing a game. Most players thought they were just catching Pokémon. But in reality, they were helping train the future of spatial AI. Because some of the most valuable datasets aren’t created intentionally. They’re created at scale — without people even realizing it. Follow @aiintelligencee for the biggest breakthroughs shaping the future of AI. Credit: markgadala on X #ai #data #technology #gaming #future
#Bettermaps Reel by @therealoshow_ - Pokémon Go Quietly Built One of the World's Largest AI Maps. Since 2016, hundreds of millions of people have played Pokémon Go. But it wasn't just a
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TH
@therealoshow_
Pokémon Go Quietly Built One of the World’s Largest AI Maps. Since 2016, hundreds of millions of people have played Pokémon Go. But it wasn’t just a game. As players walked, explored, and scanned real-world locations, they were helping build a massive 3D map of the world. While companies like Google spent billions mapping the planet, Niantic turned it into a game and scaled it through millions of players. A masterclass in turning entertainment into a data engine.
#Bettermaps Reel by @101xtechnology - Pokémon GO turned millions of players into real-world data collectors - mapping locations, movement patterns, landmarks, and behavior at scale. Every
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@101xtechnology
Pokémon GO turned millions of players into real-world data collectors - mapping locations, movement patterns, landmarks, and behavior at scale. Every step, every stop, every interaction added layers to a massive dataset. Not for fun alone - but for building better maps, AR systems, and location intelligence. The game was free. But the data was priceless. In the AI era, the real product isn’t always what you see. Sometimes, it’s what you unknowingly create. Disclaimer: Content is shared for educational, storytelling, and commentary purposes under Fair Use (Section 107). We transform original material with insight and narrative. No ownership claimed on third-party assets; credit given when possible. DM for credit or takedown @101xtechnology Reposts, reuploads & AI scraping are prohibited. . . For more tech insights and videos like this Follow @101xtechnology
#Bettermaps Reel by @inarc.ai - Around 500 million people played Pokémon GO at its peak. Most of them were just trying to catch Pokémon and have fun outside. But at the same time, so
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IN
@inarc.ai
Around 500 million people played Pokémon GO at its peak. Most of them were just trying to catch Pokémon and have fun outside. But at the same time, something bigger was happening in the background. The game was built by Niantic, a company focused on augmented reality. It uses your phone camera to place digital objects in the real world. To make that work properly, the system needs to understand real places like streets, parks, and buildings. When players used features like AR scanning, they were helping improve a digital map of the real world. These scans helped the system learn how places look from different angles. Over time, this data can be used to build more accurate 3D maps and improve how digital objects stay in place. It is not that every photo was secretly mapped. Most detailed data comes from features that ask users to scan locations. But even then, many people do not think much about how their data is being used. Companies like Google are doing similar things with their own mapping and AR systems. This shows a bigger trend in technology. Modern AI is often trained using real world data collected from everyday users. People are not working for these systems directly, but their actions still help improve them. That is what makes this interesting. The technology becomes smarter because of millions of small actions by normal users. It is powerful, but it also raises questions. Most people do not read terms or think about data usage while playing a game. In the end, the biggest idea is simple. The future of AI is not built only by engineers. It is also shaped by the people using it every day. 🌍🤖
#Bettermaps Reel by @aikhwarizmi - Follow us (@aikhwarizmi ) to learn Ai Pokémon Go players have unknowingly helped build one of the world's largest real-world visual datasets. Develop
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@aikhwarizmi
Follow us (@aikhwarizmi ) to learn Ai Pokémon Go players have unknowingly helped build one of the world’s largest real-world visual datasets. Developer Niantic revealed that photos and AR scans collected through its apps have created a massive dataset of over 30 billion images of real-world locations. This data is now being used to train AI systems that enable visual positioning and navigation. Instead of relying only on GPS, delivery robots and autonomous machines can analyze their surroundings and match them with this image map to determine their exact location on city streets—bringing us closer to more advanced real-world robotics and navigation technology. Credits: NewsForce | X
#Bettermaps Reel by @aiwavelab - Pokémon GO players unknowingly helped build one of the largest AI datasets in the world. Over the past eight years, millions of players scanned stre
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AI
@aiwavelab
Pokémon GO players unknowingly helped build one of the largest AI datasets in the world. Over the past eight years, millions of players scanned streets, parks, landmarks, and storefronts while simply playing the game and hunting Pokémon. According to Niantic, those scans have now produced a dataset of more than 30 billion real-world images, capturing environments from different angles, lighting conditions, weather, and times of day. The company is now using that data to train visual navigation AI, technology that helps delivery robots and other autonomous systems understand and move through real-world environments. What makes the dataset particularly valuable is how it was created. Instead of fleets of mapping vehicles, the data was collected organically by millions of players documenting the physical world while they played. Most people thought they were just catching Pokémon. But in reality, they were helping train the next generation of spatial AI. Some of the most valuable AI datasets in the world may not be built in labs or data centers - they’re being created by millions of people who don’t even realize they’re building them. Follow @aiwavelab for daily insights that keep you ahead in AI, Business & Tech Credit: markgadala on X #ArtificialIntelligence #SpatialAI #PokemonGO
#Bettermaps Reel by @_aitools_ - Pokémon GO players unknowingly helped build one of the largest AI datasets in the world. Over the past eight years, millions of players scanned stre
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_A
@_aitools_
Pokémon GO players unknowingly helped build one of the largest AI datasets in the world. Over the past eight years, millions of players scanned streets, parks, landmarks, and storefronts while simply playing the game and hunting Pokémon. According to Niantic, those scans have now produced a dataset of more than 30 billion real-world images, capturing environments from different angles, lighting conditions, weather, and times of day. The company is now using that data to train visual navigation AI, technology that helps delivery robots and other autonomous systems understand and move through real-world environments. What makes the dataset particularly valuable is how it was created. Instead of fleets of mapping vehicles, the data was collected organically by millions of players documenting the physical world while they played. Most people thought they were just catching Pokémon. But in reality, they were helping train the next generation of spatial AI. Some of the most valuable AI datasets in the world may not be built in labs or data centers - they’re being created by millions of people who don’t even realize they’re building them. Follow @_aitools_ for everything related to AI and Tech! Credit: markgadala on X #ArtificialIntelligence #SpatialAI #PokemonGO
#Bettermaps Reel by @indo_insights - Millions of Pokemon Go players may not realise it, but the scans they make while playing the game have helped Niantic build a super-accurate AI naviga
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IN
@indo_insights
Millions of Pokemon Go players may not realise it, but the scans they make while playing the game have helped Niantic build a super-accurate AI navigation system. The company is now using the same technology to guide delivery robots through some cities. Source: IndiaToday.in Disclaimer: This video is for educational purposes. For credit or removal, please DM.
#Bettermaps Reel by @star.ai.media - If you played Pokémon GO, you helped build a 30 BILLION image AI map of the world. For free. Every time you walked around catching Pokémon - you wer
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@star.ai.media
If you played Pokémon GO, you helped build a 30 BILLION image AI map of the world. For free. Every time you walked around catching Pokémon - you were actually capturing real-world street data for Niantic's AI. No pay. No credit. Not even a thank you. Niantic just revealed they've been sitting on 30 billion crowdsourced urban images collected by millions of players since 2016. That data has now been used to build one of the most advanced spatial AI systems ever created - a detailed 3D map of the real world. This is exactly what powers: 🚗 Self-driving cars 🤖 Delivery robots 👓 AR glasses 🗺️ Real-world AI navigation Niantic spun it out into its own spatial AI company. The foundation? Built entirely by gamers who thought they were just having fun. 😅 "The real legendary Pokémon was the geospatial training data we collected along the way." 💀 Did you play Pokémon GO? Drop a 🙋 if you were unknowingly an AI data engineer 👇 Credit: DM for credit or removal, no copyright intended. 👉Don't forget to SAVE this post and hit FOLLOW @star.ai.media for your daily dose of AI future tech!

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