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gvuksic

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www.forbes.com 2y ago

AI for Good: Using Edge AI and Synthetic Data for Land Mine Detection

gvuksic
2pts0
syntheticaidata.com 2y ago

Synthetic Data and AI for Good: Utilising Computer Vision for Mine Detection

gvuksic
7pts0
www.hackster.io 3y ago

Show HN: I Built a Nvidia Jetson Orin Nano Powered Pit Droid

gvuksic
1pts1
syntheticaidata.com 3y ago

Improving the accuracy of image classification model with synthetic data

gvuksic
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syntheticaidata.com 3y ago

How much vision AI model training cost without using Synthetic Data?

gvuksic
1pts0
www.hackster.io 3y ago

Show HN: BD-1 – vision AI powered droid

gvuksic
1pts0
syntheticaidata.com 4y ago

Show HN: SyntheticAIdata – Accelerate your vision AI model creation

gvuksic
1pts1
techcommunity.microsoft.com 5y ago

Azure Percept Obstacle Avoidance Lego Car

gvuksic
3pts0
www.hackster.io 5y ago

Show HN: Perceptmobile: Azure Percept Obstacle Avoidance Lego Car

gvuksic
2pts0
blog.stratiteq.com 5y ago

Edge Computing with Azure Percept

gvuksic
2pts0
hacktheclimate.devpost.com 5y ago

Hackathon: Hack the Climate – For a Sustainable World

gvuksic
2pts2
blog.stratiteq.com 5y ago

Dragonfly Mini – 2000km mission

gvuksic
10pts3
dev.to 6y ago

What does the Computer Vision see? Analyse a local image with JavaScript

gvuksic
1pts0
dev.to 6y ago

Where's Chewie? Object Detection with Azure Custom Vision

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1pts0
medium.com 7y ago

Show HN: Lego Minifigures Detection with Nvidia Jetson Nano

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2pts0
medium.com 7y ago

Show HN: Lego Minifigures Detection with Nvidia Jetson Nano (Model Included)

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1pts0
github.com 7y ago

Show HN: WakeUpBot – 2nd Place on Junction Stupid Bot Hackathon

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www.linkedin.com 8y ago

We won Media HackDay “AI in retail” track

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1pts0
www.innovationmcc.com 8y ago

Tattoos with Artificial Intelligence

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news.developer.nvidia.com 8y ago

Classifying Tattoos with Neural Networks

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thenextweb.com 8y ago

These programmers taught an AI how to understand tattoos

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1pts0
blog.affectiva.com 8y ago

Emotion-Aware Lego Mindstorms Robot

gvuksic
2pts0

syntheticAIdata is SaaS solution used for synthetic image generation for AI vision training that can easily integrate with cloud and other platforms.

With syntheticAIdata you can generate synthetic datasets on a large scale and accelerate vision AI model training. Generating large synthetic datasets will bring great cost savings to your projects, and it will reduce the risk of human error.

Synthetic data is one of the most promising techniques on the rise in modern deep learning, especially computer vision.

Our platform will soon open to developers, feel free to join our waiting list!

We would really like to hear your opinion on the product we are building, feel free to share your feedback with us!

Thank you! <3

This hackathon is about you. It's about me. It's about us and the Earth. It's a hackathon about respect for the environment and to stand united for the climate, through our way of living. This is about sustainability. Nothing else can be more important.

Developers of all background and skills are welcome to participate, and we’re looking forward to your innovative contributions for an even more sustainable world.

Sign up your team and join the movement!

hey ngcc_hk, thanks for the comment! we'll follow up with series of technical on blogposts explaining how we built it (with code examples etc.), this first blogpost was to showcase the project, I'm happy you liked it!

last month Microsoft had July IoT month and published a lot of tutorials on topic how to build similar things, I suggest you check out following link if you want to learn more: https://techcommunity.microsoft.com/t5/internet-of-things/ju... there are examples like "Intelligent home security with Nvidia Jetson Nano" that uses similar concepts. cheers!