Deepen 4d
LiDAR Point level instance and semantic segmentation
What it does
Imagine being able to accurately segment long sequences of ground truth LiDAR data, quickly and cost-effectively — what kind of innovation could you build? Our new 4D service can generate massive ground truth from all kinds of multisensor data sets.
Does the same job
all alternatives →
3D semantic segmentation by Playment2019 · ▲73Accurate 3D point cloud segmentation to train your AI models
- S3Scale 3D, API for 3D labeling of LIDAR, camera, and radar data2018 · scaleapi.com · ▲85
- APAI-Powered Lidar Point Cloud Classification2024 · flai.ai · ▲8
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…
- DADeepForge – A Modern Development Environment for Deep Learning2017 · deepforge.org · ▲108
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, June 2019
the whole month →
The biggest collection of free marketing resources
Growth · 2019 · nira.com
- BA
Dev tools · 2019 · kerkour.fr
- TP
Life & fun · 2019 · secretgeek.github.io
