DualityAI-RebekahBogdanoff (Rebekah Bogdanoff)

replied to their post about 1 month ago

I made at least one of the datasets here: https://huggingface.co/datasets/DualityAI-RebekahBogdanoff/DroneSnowAndRain

I would love to find some real world images that have snow/rain as occlusions though, in order to validate. Unfortunately, this truly seems like a gap

replied to their post about 1 month ago

The synthetic dataset is here, if anyone is interested: https://huggingface.co/datasets/DualityAI-RebekahBogdanoff/DroneSnowAndRain

posted an update about 1 month ago

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Does anyone know where I can find any real-world images where rain or snow obstruct a drone? I want to calibrate my synthetic data against it, but I can not seem to find any.
Thanks!

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posted an update about 1 month ago

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It seems like there's gaps in available drone detection data; I'm curious what you guys think are the biggest gaps? Use emojis to vote or comment a new gap:

🚀 - Labels for specific drone types (different DJI drones)
🤯- Rain/Snow
🔥 - Fog
👀 - Distractors like birds and airplanes
😎 - Long-range images/small pixels on target

What else?

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reacted to their post with 🤯😎 about 1 month ago

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Case Study: Manufacturing QA: When Your Production Run Is Shorter Than Your Training Data Collection
Modern manufacturing moves fast. Can AI-based QA system be ready before every new run — even if the line reconfigures every day?
Read the findings here: https://huggingface.co/blog/DualityAI-RebekahBogdanoff/manufacturing-qa

posted an update about 1 month ago

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102

Case Study: Manufacturing QA: When Your Production Run Is Shorter Than Your Training Data Collection
Modern manufacturing moves fast. Can AI-based QA system be ready before every new run — even if the line reconfigures every day?
Read the findings here: https://huggingface.co/blog/DualityAI-RebekahBogdanoff/manufacturing-qa

reacted to their post with ❤️🔥🚀 5 months ago

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144

🚀 The long awaited Ground Cover Segmentation Challenge, by Duality AI + LunateAI has finally launched, along with a new feature - Duality’s new Vibe Sim Tool! (See the comments for more info)

Vibe Sim is a new agentic simulation co-pilot that lets AI teams build scenarios, generate synthetic data, and iterate on vision models through a natural-language interface, entirely in the browser.

And I'm so excited to say that it’s now available for free to EDU users!

🌐 Use Vibe Sim to Generate segmentation data to train a model to segment aerial images into the following classes:

🌳 Trees
💧 Water
🏫 Buildings
🖼️ Other

Ground cover segmentation is an important task for geospatial analysis of human environmental impact, deforestation, and overall geospatial changes over time, but anyone who has ever had to segment an image for model training understands how much time and effort is saved by the automatic labeling 😮‍💨
Synthetic data from simulation allows users to train a model that works on real world images, using automatically annotated data that bridges the Sim2Real gap.

Join this challenge to learn how to do just that!
Utilize Duality’s full twin library, including geospatial environment twins based on real-world locations. Customize simulations using a natural-language interface and quickly iterate through the training/testing process to improve your score!

Duality is excited to once again 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.

LunateAI helps government and industry leaders 🤔 rethink, 💡redesign, and 📝 execute transformative geospatial strategies using AI, cloud, and Lunate’s unparalleled global expertise.

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replied to their post 5 months ago

Learn about Vibe Sim here: https://www.linkedin.com/posts/dualityai_megagrant-syntheticdata-digitaltwins-activity-7450580685087744000-Ewl1?utm_source=share&utm_medium=member_desktop&rcm=ACoAADbjOpABUb0GxFR98-0qayGeBoTJKYseXMg

replied to their post 5 months ago

Join here: https://www.kaggle.com/competitions/ground-cover-segmentation-challenge-by-duality-ai-lunate-ai/overview

posted an update 5 months ago

Post

144

🚀 The long awaited Ground Cover Segmentation Challenge, by Duality AI + LunateAI has finally launched, along with a new feature - Duality’s new Vibe Sim Tool! (See the comments for more info)

Vibe Sim is a new agentic simulation co-pilot that lets AI teams build scenarios, generate synthetic data, and iterate on vision models through a natural-language interface, entirely in the browser.

And I'm so excited to say that it’s now available for free to EDU users!

🌐 Use Vibe Sim to Generate segmentation data to train a model to segment aerial images into the following classes:

🌳 Trees
💧 Water
🏫 Buildings
🖼️ Other

Ground cover segmentation is an important task for geospatial analysis of human environmental impact, deforestation, and overall geospatial changes over time, but anyone who has ever had to segment an image for model training understands how much time and effort is saved by the automatic labeling 😮‍💨
Synthetic data from simulation allows users to train a model that works on real world images, using automatically annotated data that bridges the Sim2Real gap.

Join this challenge to learn how to do just that!
Utilize Duality’s full twin library, including geospatial environment twins based on real-world locations. Customize simulations using a natural-language interface and quickly iterate through the training/testing process to improve your score!

Duality is excited to once again 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.

LunateAI helps government and industry leaders 🤔 rethink, 💡redesign, and 📝 execute transformative geospatial strategies using AI, cloud, and Lunate’s unparalleled global expertise.

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reacted to their post with 🚀👀😎 8 months ago

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👀 While we're in between Kaggle competitions, users can work on earning this certificate from Duality AI! 🙌

Although these competitions are over, you can still submit results, achieve above a threshold, and earn the title of 💥OBJECT DETECTION EXPERT💥.

⏳ No time limit
🏃 No competition
🧠 Just you against your own brain

Start here: https://falcon.duality.ai/secure/documentation/certificate-challenge-object-detection?utm_source=linkedin&utm_medium=post&utm_campaign=HF

People who already participated in one or more competitions last year already have a leg up! Your previous scores count towards this certificate, and now you just have to collect them all 😽

As always, special thanks to our collaborators LunateAI and 3LC.AI 🫰

posted an update 8 months ago

Post

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👀 While we're in between Kaggle competitions, users can work on earning this certificate from Duality AI! 🙌

Although these competitions are over, you can still submit results, achieve above a threshold, and earn the title of 💥OBJECT DETECTION EXPERT💥.

⏳ No time limit
🏃 No competition
🧠 Just you against your own brain

Start here: https://falcon.duality.ai/secure/documentation/certificate-challenge-object-detection?utm_source=linkedin&utm_medium=post&utm_campaign=HF

People who already participated in one or more competitions last year already have a leg up! Your previous scores count towards this certificate, and now you just have to collect them all 😽

As always, special thanks to our collaborators LunateAI and 3LC.AI 🫰

reacted to their post with 🤗❤️👀 10 months ago

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🗣️ 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

Rebekah Bogdanoff PRO

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Rebekah Bogdanoff PRO

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