Alternatives
Products that do what AI-Powered Lidar Point Cloud Classification does
I spent years manually editing large LiDAR point clouds—and I hated every moment of doing this. To make things easier, my team and I did extensive research and development on the latest state-of-the-art techniques for point cloud processing. We built a massive training dataset and trained semantic segmentation networks, all packaged into an AI-powered platform called Flai. With Flai, you can upload, view, and classify your point clouds into over 30 categories, including buildings, power lines, vehicles and many more. It’s free to try ( https://app.flai.ai/register ), and I’d…
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Accurate 3D point cloud segmentation to train your AI models
2019
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Starting today, DirectAI’s Zero-Shot Image Classification & Object Detection APIs are public. Define classes and objects exclusively in natural language - no training data required. And if something goes wrong, you can resolve the edge case in natural language too! We’ve been hard at work to bring powerful and controllable computer vision to everybody. To do this, we’re building novel ways of interacting with the knowledge stored in large foundation models. We’re bootstrapping from zero-shot methods to create new approaches that allow for more control over decision boundaries, without…
2023 · github.com
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2020 · github.com
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I have a favour to ask. I’ve been working for a while on Kalavai, a project to make distributed AI easy. There are brilliant tools out there to help AI hobbyists and devs on the software layer (shout out to vLLM and llamacpp amongst many others!) but it’s a jungle out there when it comes to procuring and managing the necessary hardware resources and orchestrating them. This has always led me to compromise on the size of the models I end up using (quantized versions, smaller models) to save cost or to play within the limits of my rig. Today I am happy to share the first public version of our…
2024 · github.com
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2021 · github.com
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http://callum.com/sandbox/webglex/streetcloud/ Managed to get the rendering working with help from other people generous enough open source and to write about their code.
2014
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Hey HN! I just released a suite of AI models for deployment on UAV and other "overhead" devices to provide some understanding of the world below. The objective is to empower all sorts of open-source use cases around search and rescue, wildfire prevention, ground risk mitigation for flight over populated areas etc... The neural networks are trained for a bunch of different devices from big GPUs to tiny edge AI cameras like the Luxonis OAK, with some optimised ones for Nvidia TensorRT and other cool bits and pieces too. The main release package also includes some boilerplate code for running…
2023 · github.com
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Hi HN, I’m Sean, the founder of Ascend.io (https://www.ascend.io). I’m really excited to post here and announce the launch of Ascend.io, a radical new way of designing, scaling, and automating data pipelines. Ascend is the result of nearly 4 years of development effort for a team that is now 30-strong, and I would love for you to give it a test drive and let me what you think. I’ve felt this pain since I wrote my first MapReduce in 2004 (using Sawzall @ Google), and in the 15 years since, things have not improved at the pace of other parts of the technology ecosystem. When I went…
2019
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I got tired of repetitive editing tasks, so I built a tool that simplifies bulk edits using text prompts and AI workflows. Now I can quickly handle things like virtual staging, changing backgrounds, adding/removing objects, adjusting brightness and exposure, color corrections, boosting contrast and clarity, fixing distortions, batch color grading and much more! But most importantly, I can do this to all selected images, tens, hundreds or more. I'm particularly interested in feedback on the workflow and UI from photographers/editors who handle large volumes of images. I've increased…
2025 · 4ditor.com
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Hey HN, I built Reyn - which I like to describe as "granola but for everything". You're probably thinking another screen capture AI tool (which is true). Same as always, the biggest question that comes up is privacy, so I'll talk about that first 1. raw screen data is never stored in the cloud 2. user controlled filters are granular to the point that you're able to configure specific apps, windows, websites, or even keywords to be discarded immediately (once again never leaving your mac) and never captured down the pipeline I personally built it because I find it useful and always had the…
Jun 2026 · usereyn.com
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