visdrone-yolov11s is an open-source object detection model based on the YOLO11 architecture, tailored for aerial imagery and optimized for deployment on AX650 NPU hardware. It supports INT8 quantization and provides both Python and C++ APIs for integration. The model is suitable for developers working on drone-based vision applications.
Visdrone Yolov11s is an Other AI product. It focuses on enabling efficient object detection on aerial drone imagery, optimized for edge hardware deployment. Visdrone Yolov11s is an open-source project aimed at computer vision developers and researchers. The project is open source (Open Source). It runs on the command line, and it can be self-hosted.
It is developed by AXERA-TECH, and the product first shipped in 2026. The project is developed in the open on GitHub with 1 commits in the last 90 days. Among its 6 catalogued features are object detection, aerial imagery support, and INT8 quantization.
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