SpikeCV is a new open-source computer vision platform for the spike camera. You can learn more about SpikeCV here.
🔝📌 Hiring! We have multiple openings for interns! [Details]
The SpikeCV: Ultra-High-Speed Spike Vision and Intelligent Perception Special Session at MIND 2026 is now accepting paper submissions. We warmly welcome your contributions! 🚀
The Award Ceremony of the SpikeCV Ultra-High-Speed Vision Challenge was successfully held at PRCV 2025 in Shanghai! 🎉
Our paper “SpikeCV: Open a Continuous Computer Vision Era” has been accepted by SCIENCE CHINA Information Sciences and is now available online. 🎉
The Award Ceremony of the 1st SpikeCV International Challenge was successfully held at IJCAI 2025 in Guangzhou! 🎉
We held the SpikeCV Challenge at PRCV 2025: Ultra-high-speed Spike Vision Dataset and Open Task Challenge. 🚀
Providing dataset for color spike camera reconstruction, which consists of 28 Bayer-pattern spike stream (BSS) clips."
Adding algorithm in "Learning a Deep Demosaicing Network for Spike Camera with Color Filter Array (TIP 24, Dong, et al.)". It includes train/evaluate codes for CSpkNet.
Adding algorithm in "Recognizing High-Speed Moving Objects with Spike Camera (ACM MM 23, Zhao, et al.)". It includes train/evaluate codes for HSSR.
Adding algorithm in "SpiReco: Fast and Efficient Recognition of High-Speed Moving Objects with Spike Cameras (TCSVT 23, Zhao, et al.)". It includes train/evaluate codes for SpiReco.
Adding algorithm in "Learning Super-Resolution Reconstruction for High Temporal Resolution Spike Stream (TCSVT 21, Xiang, et al.)". It includes test codes for SRR.
The form of formlessness · Spiking Continuous Photographing (ICHSIP-33)
We are the research team from Peking University. To build up a community ecology for the spike vision to facilitate more users to take advantage of the spike camera, our built SpikeCV provides a variety of ultra-high-speed scene datasets, hardware interfaces, and an easy-to-use modules library. SpikeCV focuses on encapsulation for spike data, standardization for dataset interfaces, modularization for vision tasks, and real-time applications for challenging scenes, which can be used as a Python library to fulfilled most of the numerical analysis needs of researchers
“工欲善其事，必先利其器。”
《论语》
We are committed to integrating algorithms, hardware and data into a unified interface for user utilization.
We offer open-source platform to the community for development.
We offer examples for using spike cameras to solve real visual tasks.