I posted this question somewhere else, too, and the trend is very similar:
Rebekah Bogdanoff PRO
DualityAI-RebekahBogdanoff
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replied to
their
post
about 17 hours ago
When you're looking for data, what's your focus (use the reactions below to vote):
š Getting as many images as you can
š¤Æ Getting the right type of images (framing, domain, lighting, etc)
I know both are very important, but I'm curious what people would put as #1
upvoted
an
article
7 days ago
Detecting Beyond Sight: Building AI-Enabled SAR Intelligence with Synthetic Data
Organizations
replied to
their
post
about 17 hours ago
posted
an
update
3 days ago
Post
2643
When you're looking for data, what's your focus (use the reactions below to vote):
š Getting as many images as you can
š¤Æ Getting the right type of images (framing, domain, lighting, etc)
I know both are very important, but I'm curious what people would put as #1
š Getting as many images as you can
š¤Æ Getting the right type of images (framing, domain, lighting, etc)
I know both are very important, but I'm curious what people would put as #1
-
- 2 replies
upvoted
an
article
7 days ago
Article
Detecting Beyond Sight: Building AI-Enabled SAR Intelligence with Synthetic Data
By
ā¢
ā¢
4
reacted to
their
post with š¤Æāšš
7 days ago
Post
2054
NEW ARTICLE: "Detecting Beyond Sight: Building AI-Enabled SAR Intelligence with Synthetic Data"
Synthetic Aperture Radar (SAR) reveals what optical sensors canāt. AI can turn that information into actionable intelligenceābut only with the right training data.
In our latest blog, we explore how Falconās new virtual SAR sensor solves the SAR data bottleneck for AI development. As the newest addition to Falconās sensor library, it models radar returns with precisionāincluding azimuth, range resolution, signal intensity, and noise. This Falcon-specific, GPU-accelerated raytraced SAR model is exposed via Falconās Python API, giving teams precise, control over radar wave propagation and enabling physically grounded, highly customizable, and user-friendly SAR simulation.
The result? High-fidelity, automatically labeled synthetic SAR imagery from any scenarioāon demand. No custom setup. No external workflows. Just mission-ready data for building AI models across defense, disaster response, agriculture, intelligence, and beyond.
š” Read how it works ā https://huggingface.co/blog/DualityAI-RebekahBogdanoff/ai-enabled-sar-intelligence-synthetic-data
Synthetic Aperture Radar (SAR) reveals what optical sensors canāt. AI can turn that information into actionable intelligenceābut only with the right training data.
In our latest blog, we explore how Falconās new virtual SAR sensor solves the SAR data bottleneck for AI development. As the newest addition to Falconās sensor library, it models radar returns with precisionāincluding azimuth, range resolution, signal intensity, and noise. This Falcon-specific, GPU-accelerated raytraced SAR model is exposed via Falconās Python API, giving teams precise, control over radar wave propagation and enabling physically grounded, highly customizable, and user-friendly SAR simulation.
The result? High-fidelity, automatically labeled synthetic SAR imagery from any scenarioāon demand. No custom setup. No external workflows. Just mission-ready data for building AI models across defense, disaster response, agriculture, intelligence, and beyond.
š” Read how it works ā https://huggingface.co/blog/DualityAI-RebekahBogdanoff/ai-enabled-sar-intelligence-synthetic-data
posted
an
update
7 days ago
Post
2054
NEW ARTICLE: "Detecting Beyond Sight: Building AI-Enabled SAR Intelligence with Synthetic Data"
Synthetic Aperture Radar (SAR) reveals what optical sensors canāt. AI can turn that information into actionable intelligenceābut only with the right training data.
In our latest blog, we explore how Falconās new virtual SAR sensor solves the SAR data bottleneck for AI development. As the newest addition to Falconās sensor library, it models radar returns with precisionāincluding azimuth, range resolution, signal intensity, and noise. This Falcon-specific, GPU-accelerated raytraced SAR model is exposed via Falconās Python API, giving teams precise, control over radar wave propagation and enabling physically grounded, highly customizable, and user-friendly SAR simulation.
The result? High-fidelity, automatically labeled synthetic SAR imagery from any scenarioāon demand. No custom setup. No external workflows. Just mission-ready data for building AI models across defense, disaster response, agriculture, intelligence, and beyond.
š” Read how it works ā https://huggingface.co/blog/DualityAI-RebekahBogdanoff/ai-enabled-sar-intelligence-synthetic-data
Synthetic Aperture Radar (SAR) reveals what optical sensors canāt. AI can turn that information into actionable intelligenceābut only with the right training data.
In our latest blog, we explore how Falconās new virtual SAR sensor solves the SAR data bottleneck for AI development. As the newest addition to Falconās sensor library, it models radar returns with precisionāincluding azimuth, range resolution, signal intensity, and noise. This Falcon-specific, GPU-accelerated raytraced SAR model is exposed via Falconās Python API, giving teams precise, control over radar wave propagation and enabling physically grounded, highly customizable, and user-friendly SAR simulation.
The result? High-fidelity, automatically labeled synthetic SAR imagery from any scenarioāon demand. No custom setup. No external workflows. Just mission-ready data for building AI models across defense, disaster response, agriculture, intelligence, and beyond.
š” Read how it works ā https://huggingface.co/blog/DualityAI-RebekahBogdanoff/ai-enabled-sar-intelligence-synthetic-data
published
an
article
7 days ago
Article
Detecting Beyond Sight: Building AI-Enabled SAR Intelligence with Synthetic Data
By
ā¢
ā¢
4
reacted to
their
post with ā¤ļøšš„
7 days ago
Post
810
Excuse the lag, it's from the real-time inference from the webcam š . Did you know that YOLOv11 added Streamlit for live object detection straight from your webcam?
šø Learn about live inference with YOLOv11 and the Streamlit Application -
https://docs.ultralytics.com/guides/streamlit-live-inference/
š„« Join the mentioned Kaggle competition here -
https://www.kaggle.com/competitions/multi-class-object-detection-challenge/overview
š Checkout Duality AI -
https://www.duality.ai/?utm_source=hf&utm_medium=post&utm_campaign=video
š«” Checkout 3LC.AI -
https://3lc.ai/
šø Learn about live inference with YOLOv11 and the Streamlit Application -
https://docs.ultralytics.com/guides/streamlit-live-inference/
š„« Join the mentioned Kaggle competition here -
https://www.kaggle.com/competitions/multi-class-object-detection-challenge/overview
š Checkout Duality AI -
https://www.duality.ai/?utm_source=hf&utm_medium=post&utm_campaign=video
š«” Checkout 3LC.AI -
https://3lc.ai/
posted
an
update
8 days ago
Post
810
Excuse the lag, it's from the real-time inference from the webcam š . Did you know that YOLOv11 added Streamlit for live object detection straight from your webcam?
šø Learn about live inference with YOLOv11 and the Streamlit Application -
https://docs.ultralytics.com/guides/streamlit-live-inference/
š„« Join the mentioned Kaggle competition here -
https://www.kaggle.com/competitions/multi-class-object-detection-challenge/overview
š Checkout Duality AI -
https://www.duality.ai/?utm_source=hf&utm_medium=post&utm_campaign=video
š«” Checkout 3LC.AI -
https://3lc.ai/
šø Learn about live inference with YOLOv11 and the Streamlit Application -
https://docs.ultralytics.com/guides/streamlit-live-inference/
š„« Join the mentioned Kaggle competition here -
https://www.kaggle.com/competitions/multi-class-object-detection-challenge/overview
š Checkout Duality AI -
https://www.duality.ai/?utm_source=hf&utm_medium=post&utm_campaign=video
š«” Checkout 3LC.AI -
https://3lc.ai/
reacted to
their
post with š¤š„ā¤ļøšš
17 days ago
Post
3200
š¢ Generate your own data in simulation using two new free and customizable data-generating Scenarios on Duality's FalconCloud service.
š These multi-class Scenarios are designed to target model weaknesses for our recent Kaggle competition, but they are free to anyone for non-commercial use! Just create a free account.
šø Control object and camera posing
š Select random variable ranges
š¼ļø Set post-processing effects
ā and more to create a robust dataset for strong model training.
Access the 2 Scenarios here:
š https://falcon.duality.ai/secure/scenarios/edit/9e90e036-8af9-41e4-8af0-1343b8e8f467?utm_source=Kaggle&utm_medium=post&utm_campaign=competition_4
š https://falcon.duality.ai/secure/scenarios/edit/e3294c19-49d4-4f64-9ca8-8373876c2c94?utm_source=Kaggle&utm_medium=post&utm_campaign=competition_4
š These multi-class Scenarios are designed to target model weaknesses for our recent Kaggle competition, but they are free to anyone for non-commercial use! Just create a free account.
šø Control object and camera posing
š Select random variable ranges
š¼ļø Set post-processing effects
ā and more to create a robust dataset for strong model training.
Access the 2 Scenarios here:
š https://falcon.duality.ai/secure/scenarios/edit/9e90e036-8af9-41e4-8af0-1343b8e8f467?utm_source=Kaggle&utm_medium=post&utm_campaign=competition_4
š https://falcon.duality.ai/secure/scenarios/edit/e3294c19-49d4-4f64-9ca8-8373876c2c94?utm_source=Kaggle&utm_medium=post&utm_campaign=competition_4
posted
an
update
18 days ago
Post
3200
š¢ Generate your own data in simulation using two new free and customizable data-generating Scenarios on Duality's FalconCloud service.
š These multi-class Scenarios are designed to target model weaknesses for our recent Kaggle competition, but they are free to anyone for non-commercial use! Just create a free account.
šø Control object and camera posing
š Select random variable ranges
š¼ļø Set post-processing effects
ā and more to create a robust dataset for strong model training.
Access the 2 Scenarios here:
š https://falcon.duality.ai/secure/scenarios/edit/9e90e036-8af9-41e4-8af0-1343b8e8f467?utm_source=Kaggle&utm_medium=post&utm_campaign=competition_4
š https://falcon.duality.ai/secure/scenarios/edit/e3294c19-49d4-4f64-9ca8-8373876c2c94?utm_source=Kaggle&utm_medium=post&utm_campaign=competition_4
š These multi-class Scenarios are designed to target model weaknesses for our recent Kaggle competition, but they are free to anyone for non-commercial use! Just create a free account.
šø Control object and camera posing
š Select random variable ranges
š¼ļø Set post-processing effects
ā and more to create a robust dataset for strong model training.
Access the 2 Scenarios here:
š https://falcon.duality.ai/secure/scenarios/edit/9e90e036-8af9-41e4-8af0-1343b8e8f467?utm_source=Kaggle&utm_medium=post&utm_campaign=competition_4
š https://falcon.duality.ai/secure/scenarios/edit/e3294c19-49d4-4f64-9ca8-8373876c2c94?utm_source=Kaggle&utm_medium=post&utm_campaign=competition_4
reacted to
3LC's
post with š
20 days ago
Post
2961
š Announcing the Synthetic-to-Real Multi-Class Object Detection Challenge!
Weāre excited to announce the launch of the Synthetic-to-Real Multi-Class Object Detection Challengeānow live on Kaggle!
This exciting competition is brought to you by 3LC in partnership with Duality AI, creators of the powerful FalconCloud tool for generating targeted synthetic data. Together, we're offering a unique opportunity to push the boundaries of object detection through high-fidelity, simulation-to-real workflows.
š§Ŗ What Makes This Challenge Special?
š» Create customized training data with Dualityās cloud-based scenario
š§ Analyze data weaknesses and take precise, data-driven actions using 3LC's robust tooling
āļø Optimize data for peak model training
š Why Join?
ā¢ Win cash prizes, certificates, and global recognition
ā¢ Gain exposure to real-world simulation workflows used in top AI companies
ā¢ Collaborate and compete with leading minds in computer vision, ML, and AI
Whether you're a student, researcher, or industry pro, this challenge is your chance to bridge the Sim2Real gap and showcase your skills in building high-performance object detection models.
š Ready to compete?
https://www.kaggle.com/competitions/multi-class-object-detection-challenge
Weāre excited to announce the launch of the Synthetic-to-Real Multi-Class Object Detection Challengeānow live on Kaggle!
This exciting competition is brought to you by 3LC in partnership with Duality AI, creators of the powerful FalconCloud tool for generating targeted synthetic data. Together, we're offering a unique opportunity to push the boundaries of object detection through high-fidelity, simulation-to-real workflows.
š§Ŗ What Makes This Challenge Special?
š» Create customized training data with Dualityās cloud-based scenario
š§ Analyze data weaknesses and take precise, data-driven actions using 3LC's robust tooling
āļø Optimize data for peak model training
š Why Join?
ā¢ Win cash prizes, certificates, and global recognition
ā¢ Gain exposure to real-world simulation workflows used in top AI companies
ā¢ Collaborate and compete with leading minds in computer vision, ML, and AI
Whether you're a student, researcher, or industry pro, this challenge is your chance to bridge the Sim2Real gap and showcase your skills in building high-performance object detection models.
š Ready to compete?
https://www.kaggle.com/competitions/multi-class-object-detection-challenge