Michael Taylor's picture

Michael Taylor

Mike-DualityAI

AI & ML interests

None yet

Recent Activity

reacted to DualityAI-RebekahBogdanoff's post with ❤️ about 1 month ago
Training YOLO with Synthetic Data from Duality AI's Falcon Simulation Software 🎮📊 Hello again! 👋 Duality.ai has released a second Google Colab and tutorial for training a YOLOv8 model using synthetic data from our Falcon simulation software! https://falcon.duality.ai/secure/documentation/see-synth-work-no-specs?sidebarMode=learn#download-the-colab-notebook Train using synthetic images of a soup can twin this time, and see it work on real-world images. 🥫🍜 The tutorial also walks you through how to add your own twin from our FalconCloud library, and our goal is to equip people like you to be able to create your own data for your own projects. You'll have to create a free account to access the files, but once you do, you'll have access to not only this colab file, but also all of our lessons and our digital twin library. 🎓 Instructions for creating the synthetic data accessed by the colab notebook can be found here: https://falcon.duality.ai/secure/documentation/ex2-objdetection-newtwin?sidebarMode=learn This method is a game-changer for cost-effective, scalable, and customizable datasets in computer vision. Why Synthetic Data?🤔 - Precise Annotations: Get bounding boxes, segmentation masks, and more without manual effort. - Customizable Scenarios: Get comprehensive data and cover all corner cases by simulating diverse conditions like lighting, weather, visual occlusions, and more. What’s in the Notebook?📓 - Training & Evaluation: Train YOLOv8 with synthetic data and test its performance on real-world samples. Let’s Discuss!💬 Check out our discord to see how people are using the Falcon simulation software to develop strong datasets and train robust models. https://discord.com/invite/dualityfalconcommunity
replied to DualityAI-RebekahBogdanoff's post about 1 month ago
Training YOLO with Synthetic Data from Duality AI's Falcon Simulation Software 🎮📊 Hello again! 👋 Duality.ai has released a second Google Colab and tutorial for training a YOLOv8 model using synthetic data from our Falcon simulation software! https://falcon.duality.ai/secure/documentation/see-synth-work-no-specs?sidebarMode=learn#download-the-colab-notebook Train using synthetic images of a soup can twin this time, and see it work on real-world images. 🥫🍜 The tutorial also walks you through how to add your own twin from our FalconCloud library, and our goal is to equip people like you to be able to create your own data for your own projects. You'll have to create a free account to access the files, but once you do, you'll have access to not only this colab file, but also all of our lessons and our digital twin library. 🎓 Instructions for creating the synthetic data accessed by the colab notebook can be found here: https://falcon.duality.ai/secure/documentation/ex2-objdetection-newtwin?sidebarMode=learn This method is a game-changer for cost-effective, scalable, and customizable datasets in computer vision. Why Synthetic Data?🤔 - Precise Annotations: Get bounding boxes, segmentation masks, and more without manual effort. - Customizable Scenarios: Get comprehensive data and cover all corner cases by simulating diverse conditions like lighting, weather, visual occlusions, and more. What’s in the Notebook?📓 - Training & Evaluation: Train YOLOv8 with synthetic data and test its performance on real-world samples. Let’s Discuss!💬 Check out our discord to see how people are using the Falcon simulation software to develop strong datasets and train robust models. https://discord.com/invite/dualityfalconcommunity
View all activity

Organizations

Duality AI's profile picture

Mike-DualityAI's activity

reacted to DualityAI-RebekahBogdanoff's post with ❤️ about 22 hours ago
view post
Post
1084
🗣️💬We at Duality.ai want to hear about your specific dataset needs!!

We created a pose estimation dataset and an explanatory colab here:
➡️Dataset: duality-robotics/pose_estimation
➡️Colab: https://falcon.duality.ai/secure/documentation/pose-colab (you will have to create a free account to access)

😎We want to continue supporting the computer vision community, but we need to hear from you-
❓What computer vision tasks you are working on that could benefit from intentionally crafted data produced by our simulation software, FalconEditor?

Share your ideas in the comment section below, and we'll create annotated and labeled datasets to address the most pressing community needs.

Some areas to consider:

- Object detection in challenging environments
- Semantic segmentation for diverse scenes
- Pose Estimation data set with variance (IDK)
- Multi-object tracking
- Anomaly detection
- Domain-specific tasks (e.g., medical imaging, autonomous driving)

Let us know your dataset needs, and we'll work on generating synthetic data to address them!

As always, create a free EDU account to start using FalconEditor to create synthetic data on your own! Sign up here: https://falcon.duality.ai/auth/sign-up
reacted to DualityAI-RebekahBogdanoff's post with ❤️ about 1 month ago
view post
Post
1973
Training YOLO with Synthetic Data from Duality AI's Falcon Simulation Software 🎮📊
Hello again! 👋 Duality.ai has released a second Google Colab and tutorial for training a YOLOv8 model using synthetic data from our Falcon simulation software!

https://falcon.duality.ai/secure/documentation/see-synth-work-no-specs?sidebarMode=learn#download-the-colab-notebook

Train using synthetic images of a soup can twin this time, and see it work on real-world images. 🥫🍜
The tutorial also walks you through how to add your own twin from our FalconCloud library, and our goal is to equip people like you to be able to create your own data for your own projects.

You'll have to create a free account to access the files, but once you do, you'll have access to not only this colab file, but also all of our lessons and our digital twin library. 🎓

Instructions for creating the synthetic data accessed by the colab notebook can be found here: https://falcon.duality.ai/secure/documentation/ex2-objdetection-newtwin?sidebarMode=learn

This method is a game-changer for cost-effective, scalable, and customizable datasets in computer vision.

Why Synthetic Data?🤔
- Precise Annotations: Get bounding boxes, segmentation masks, and more without manual effort.
- Customizable Scenarios: Get comprehensive data and cover all corner cases by simulating diverse conditions like lighting, weather, visual occlusions, and more.

What’s in the Notebook?📓
- Training & Evaluation: Train YOLOv8 with synthetic data and test its performance on real-world samples.

Let’s Discuss!💬
Check out our discord to see how people are using the Falcon simulation software to develop strong datasets and train robust models. https://discord.com/invite/dualityfalconcommunity
  • 2 replies
·
replied to DualityAI-RebekahBogdanoff's post about 1 month ago
view reply

@DualityAI-RebekahBogdanoff - Thanks for posting this for the community! This is an important one - it opens the door to our users easily creating their own data and detection models, all built off of the process laid out in Exercise 1 and leveraging the ready-to-use digital twin catalog that we offer to our users.

Very excited to see what the community here builds!

replied to DualityAI-RebekahBogdanoff's post about 2 months ago
view reply

@DualityAI-RebekahBogdanoff - Thanks for posting this and sharing with the community! Helping people use synthetic data to build better AI models in less time is a big part of what we do at Duality and I'm very excited that we can share this public example with the Hugging Face community.