moondream

Photon 1.3 is out! It's now free and runs Moondream up to 70% faster. More images/sec, lower latency, on Mac, Windows & NVIDIA. Good, fast, cheap: we picked all three! moondream.ai/blog/photon-1-…

Time to touch grass and use Moondream. Segmenting a dog is easy. But understanding which dog you mean is a different problem. Moondream does it from a prompt.

recently had the pleasure of presenting at the Frontier Research Club, hosted by @Stanford. Check out the recording for the TLDR on how we achieved SOTA segmentation

Learn more about Lens fine-tuning here : moondream.ai/p/lens

Want to build an agent that can identify the lead swimmer in an Enhanced Games race clip? Existing models don't handle this well. A quick Moondream fine-tune solved it, segmenting the lead swimmer throughout the video.

Learn more here: moondream.ai/skills/segment

"Succulent chinese meal" isn't an object category. Yet Moondream knows exactly what you mean. Prompt: "croissant", "succulent chinese meal", "pizza", "beer", "check" Pixel-accurate grounding from naturel language. Fast, open vision AI.

$5 free credits / month on Moondream spend it on :

mini tutorial on how to train @moondreamai to watch an NBA game and spot the player with the ball.

Even more details: moondream.ai/blog/photon-1-…

Bottom line: Photon 1.2.0 makes Moondream faster, easier to deploy, and available on more of the hardware you use. Production vision AI is moving from “cloud-only” to “run it where the work happens.”

Photon 1.2.0 is here 🚀 ✅ Apple Silicon support ✅ Native Windows CUDA inference ✅ NVIDIA Blackwell support ✅ Jetson Thor edge inference ✅ Faster existing NVIDIA GPU performance Learn more👇

Base Moondream: 18 percent accuracy on glaucoma detection. GPT-5.4: 33 percent. Moondream plus Lens: 69 percent. Got a Vision AI challenge? Let us show you what Lens can do.

Powering the only agentic vision demo at NAB! Moondream counts people over time, captions the scene, and detects the thumbs up people are giving @ptzoptics.

Launching Lens, our fine-tuning service for Moondream. Improve Moondream's accuray to production-ready levels in hours, with as few as 20 images. Example: we taught Moondream to find the player with the ball in NBA footage. F1 jumped from 28% to 79%, beating ChatGPT. 54 minutes, $16.89. Fine-tune your own: moondream.ai/blog/lens-moon…

Cameras that follow the ball are over. PTZOptics + Moondream demo at NAB 2026 today: AI that understands who has the ball, when a shot happens, what the play is. Not tracking. Context. Every sports broadcast truck runs a vision-language model in 5 years.

Technical whitepaper on Moondream segmentation is out: arxiv.org/abs/2604.02593