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DualityAI-RebekahBogdanoff
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reacted to their post with 🤗 15 days ago
🗣️ Introducing the Duality AI + LunateAI Challenge- Geospatial Object Detection: Rural Buildings! Train a model to detect difficult detection instances, such as a low number of pixels or weak feature responses, in rural aerial imagery, to win 🏆PRIZES🏆 and 🤩RECOGNITION🤩. Sign up here: https://www.kaggle.com/competitions/duality-ai-lunate-ai-geospatial-object-detection/overview This is the first competition in the 🌎Geospatial Kaggle Challenge Series🌏, which will explore how geospatial-based digital twins can train an AI model for real-world applications. Duality is excited to be partnering with LunateAI, a high-end advisory business founded by the award-winning, industry-recognized global leader Dr. Nadine Alameh to usher in a new era of geospatial impact in conjunction with advances in computing and AI. Lunate helps government and industry leaders 🤔 rethink, 💡redesign, and 📝 execute transformative geospatial strategies using AI, cloud, and Lunate’s unparalleled global expertise. Read more about the company here: https://lunateai.com/ 🏠 For this Kaggle competition, competitors will train an object detection model to identify buildings in a rural environment, using aerial imagery. 🏠 The real-world testing data focuses on difficult detection instances, such as: 🔎 Low number of pixels 🏘️ Weak feature responses 🌤️Varied lighting Competitors must generate varied synthetic data that addresses key difficulties of the real-world dataset using a FalconCloud simulation with controllable parameters. Competitors can control: ✅ Variety of in-class of objects ✅ Lighting and shadow conditions ✅ Environmental occlusions ✅ and more! Join the competition and learn how digital simulation using data such as geospatial information can help tackle difficult real-world challenges. Sign up here: https://www.kaggle.com/competitions/duality-ai-lunate-ai-geospatial-object-detection/overview
reacted to their post with ❤️ 15 days ago
🗣️ Introducing the Duality AI + LunateAI Challenge- Geospatial Object Detection: Rural Buildings! Train a model to detect difficult detection instances, such as a low number of pixels or weak feature responses, in rural aerial imagery, to win 🏆PRIZES🏆 and 🤩RECOGNITION🤩. Sign up here: https://www.kaggle.com/competitions/duality-ai-lunate-ai-geospatial-object-detection/overview This is the first competition in the 🌎Geospatial Kaggle Challenge Series🌏, which will explore how geospatial-based digital twins can train an AI model for real-world applications. Duality is excited to be partnering with LunateAI, a high-end advisory business founded by the award-winning, industry-recognized global leader Dr. Nadine Alameh to usher in a new era of geospatial impact in conjunction with advances in computing and AI. Lunate helps government and industry leaders 🤔 rethink, 💡redesign, and 📝 execute transformative geospatial strategies using AI, cloud, and Lunate’s unparalleled global expertise. Read more about the company here: https://lunateai.com/ 🏠 For this Kaggle competition, competitors will train an object detection model to identify buildings in a rural environment, using aerial imagery. 🏠 The real-world testing data focuses on difficult detection instances, such as: 🔎 Low number of pixels 🏘️ Weak feature responses 🌤️Varied lighting Competitors must generate varied synthetic data that addresses key difficulties of the real-world dataset using a FalconCloud simulation with controllable parameters. Competitors can control: ✅ Variety of in-class of objects ✅ Lighting and shadow conditions ✅ Environmental occlusions ✅ and more! Join the competition and learn how digital simulation using data such as geospatial information can help tackle difficult real-world challenges. Sign up here: https://www.kaggle.com/competitions/duality-ai-lunate-ai-geospatial-object-detection/overview
reacted to their post with 👀 15 days ago
🗣️ Introducing the Duality AI + LunateAI Challenge- Geospatial Object Detection: Rural Buildings! Train a model to detect difficult detection instances, such as a low number of pixels or weak feature responses, in rural aerial imagery, to win 🏆PRIZES🏆 and 🤩RECOGNITION🤩. Sign up here: https://www.kaggle.com/competitions/duality-ai-lunate-ai-geospatial-object-detection/overview This is the first competition in the 🌎Geospatial Kaggle Challenge Series🌏, which will explore how geospatial-based digital twins can train an AI model for real-world applications. Duality is excited to be partnering with LunateAI, a high-end advisory business founded by the award-winning, industry-recognized global leader Dr. Nadine Alameh to usher in a new era of geospatial impact in conjunction with advances in computing and AI. Lunate helps government and industry leaders 🤔 rethink, 💡redesign, and 📝 execute transformative geospatial strategies using AI, cloud, and Lunate’s unparalleled global expertise. Read more about the company here: https://lunateai.com/ 🏠 For this Kaggle competition, competitors will train an object detection model to identify buildings in a rural environment, using aerial imagery. 🏠 The real-world testing data focuses on difficult detection instances, such as: 🔎 Low number of pixels 🏘️ Weak feature responses 🌤️Varied lighting Competitors must generate varied synthetic data that addresses key difficulties of the real-world dataset using a FalconCloud simulation with controllable parameters. Competitors can control: ✅ Variety of in-class of objects ✅ Lighting and shadow conditions ✅ Environmental occlusions ✅ and more! Join the competition and learn how digital simulation using data such as geospatial information can help tackle difficult real-world challenges. Sign up here: https://www.kaggle.com/competitions/duality-ai-lunate-ai-geospatial-object-detection/overview
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