{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/yolo-lite-a-real-time-object-detection","title":"YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers","arxiv_id":"1811.05588","date":"2018-11-14","proceeding":null,"authors":["Jonathan Pedoeem","Rachel Huang"],"abstract":"This paper focuses on YOLO-LITE, a real-time object detection model developed\nto run on portable devices such as a laptop or cellphone lacking a Graphics\nProcessing Unit (GPU). The model was first trained on the PASCAL VOC dataset\nthen on the COCO dataset, achieving a mAP of 33.81% and 12.26% respectively.\nYOLO-LITE runs at about 21 FPS on a non-GPU computer and 10 FPS after\nimplemented onto a website with only 7 layers and 482 million FLOPS. This speed\nis 3.8x faster than the fastest state of art model, SSD MobilenetvI. Based on\nthe original object detection algorithm YOLOV2, YOLO- LITE was designed to\ncreate a smaller, faster, and more efficient model increasing the accessibility\nof real-time object detection to a variety of devices.","url_abs":"http://arxiv.org/abs/1811.05588v1","url_pdf":"http://arxiv.org/pdf/1811.05588v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"yolo-lite-a-real-time-object-detection","repo_url":"https://github.com/StevenBanama/Yolo-lite-Gesture","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":null,"task_name":"GPU"},{"task_slug":"object","task_name":"Object"},{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"real-time-object-detection","task_name":"Real-Time Object Detection"},{"task_slug":"object-detection-1","task_name":"object-detection"}],"methods":[{"method_slug":"1x1-convolution","method_name":"1x1 Convolution"},{"method_slug":"convolution","method_name":"Convolution"},{"method_slug":"non-maximum-suppression","method_name":"Non Maximum Suppression"},{"method_slug":"ssd","method_name":"SSD"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1811.05588","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}