lidar-food-measurable-yolo11n-seg is an open-source image segmentation model based on YOLOv11n, designed for segmenting food items and processing LiDAR data. It supports instance segmentation and can be integrated with ultralytics and Core ML. The model is intended for computer vision researchers and developers working on food recognition or LiDAR-based applications.
In the Other AI space, Lidar Food Measurable Yolo11n Seg takes a focused approach. It focuses on automating the segmentation of food items and LiDAR data in images for computer vision tasks. It is built as an open-source project for computer vision researchers. Lidar Food Measurable Yolo11n Seg is open source under the Open Source license. It runs on the command line.
Behind Lidar Food Measurable Yolo11n Seg is kris-0918, and the product first shipped in 2014. Development happens publicly on GitHub with 6.4k stars. Key capabilities include image segmentation, YOLO integration, and food segmentation.
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