AI · alternatives · 2026
24 alternatives to Deepen 4d
LiDAR Point level instance and semantic segmentation
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Deepen 4d launched in 2019; newer entries below may have overtaken it.
- 1

Accurate 3D point cloud segmentation to train your AI models
2019 · telusinternational.com · its alternatives →
- 2

I've been working on this project for about 4 years. It began as terrain only because world wide elevation data was publicly available. I then added buildings from OpenStreetMap (crowd sourced) and more recently from Overture Maps data. Some computer vision/machine learning advancements [1] in the past few years have made it possible to estimate tree canopy heights using satellite imagery alone making it possible to finally add trees to the map. The data isn't perfect, but it's within +/- 3 meters of so. Good enough to give a general idea for any location on Earth. Happy to answer…
2024 · shademap.app · its alternatives →
- 3

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…
2024 · flai.ai · its alternatives →
- 4
DeepSeek-V4▲387The open-source era of 1M context intelligence
Apr 2026 · huggingface.co · its alternatives →
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Transform 2D images into immersive 3D models with AI
2025 · its alternatives →
- 8
Scale 3D API▲114API for building 3D perception AI for self-driving cars
2018 · scale.com · its alternatives →
- 9S3
Scale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500.
2018 · scaleapi.com · its alternatives →
- 10SI
2015 · robots.ox.ac.uk · its alternatives →
- 11

A "virtual satellite" to map Earth in unprecedented detail
2025 · deepmind.google · its alternatives →
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Depthforge▲94Immersive 3D image generation for Apple Vision Pro
2024 · apps.apple.com · its alternatives →
- 14

High-resolution surface analysis with LiDAR data. Contribute to r-follador/delta-relief development by creating an account on GitHub.
2025 · github.com · its alternatives →
- 15

We build d3d platform for civil firms for 3D-Models
2025 · d3d.ai · its alternatives →
- 16

2016 · github.com · its alternatives →
- 17
The deepfake detector that goes where you browse
Aug 2026 · deepidv.com · its alternatives →
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Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
- 20

I'm not a geospatial expert — I work in AI/ML. This started when I was exploring LiDAR data with agentic assitince and noticed that different signal decomposition methods revealed different terrain features. The core idea: if you systematically combine decomposition methods (Gaussian, bilateral, wavelet, morphological, etc.) with different upsampling techniques, each combination has characteristic "failure modes" that selectively preserve or eliminate certain features. The differences between outputs become feature-specific filters. The framework tests 25 decomposition × 19 upsampling…
Jan 2026 · github.com · its alternatives →
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Bulk image tagging using OpenAI GPT-4 Vision. Contribute to vladignatyev/bulktag development by creating an account on GitHub.
2023 · github.com · its alternatives →
- 23HT
2018 · medium.com · its alternatives →
- 24RA
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 · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →