reComputer AI Lab | Edge AI Models & Tools
What is reComputer AI Lab?
reComputer AI Lab is an open platform for deploying edge-AI models on Seeed Studio reComputer hardware with a single Docker command. It brings together 100+ optimized computer-vision, LLM, and VLM models, a hardware toolchain for flashing and model conversion, step-by-step tutorials, and community projects — all tuned for reComputer devices built on NVIDIA Jetson, Rockchip RK3576/RK3588, and Raspberry Pi. Every model ships with benchmarks and a ready-to-run deployment command, so you can go from browsing to running inference at the edge in just two steps. Whether you are prototyping a vision application, running a local LLM, or shipping an industrial AI project, reComputer AI Lab lowers the barrier to real-world edge AI with reproducible, hardware-optimized workflows.
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Explore Models
CV, LLM, and VLM models ready to run on reComputer.
Browse all models →Tools
reComputer-optimized toolchain, one command to use.
Browse tools →Tutorials
Step-by-step guides and hands-on tutorials for reComputer.
Browse all tutorials →Community Projects
Share your community projects built on reComputer.
View all projects →Hot Model
Popular edge AI models ready to run on reComputer
Community Projects
View all projectsSee what the community is building with reComputer

9-Filter Dual-Hand Pinch Demo with MediaPipe Hand Landmarker
Real-time detection of 21 hand key points and pinch state for both hands on CPU (XNNPACK-accelerated) using the MediaPipe Tasks Hand Landmarker model. "Both hands pinching simultaneously" maps directly to a quadrilateral ROI, and 9 image filters are applied live to the pixels inside the ROI.

Three accelerators on one RK3576: built-in NPU vs Hailo-8 vs RK182x
The same YOLO26n on the reComputer RK3576's built-in NPU, on a Hailo-8 module and on an RK182x module, compared on single-stream and 8-stream FPS: Hailo-8 is the fastest on a single stream, RK182x is the best at 8 streams.

Build a Real-Time Queue Counter with YOLO11 on reComputer RK3576
Turn a video or RTSP stream into a live queue monitor that counts people only inside the area you define, powered by YOLO11 on the RK3576 NPU.

