{"id":5481,"slug":"yolov3","name":"YOLOv3","type":"concept","created_at":"2026-08-08T23:26:50.428835+00:00","hidden":0,"aliases":[],"episodes":[{"id":"a457e249-f250-4945-8b75-4438dc3a86f9","slug":"s09e13-mist-everywhere","subject":"s09e13: Mist, everywhere","title":"Mist, everywhere","publish_date":"2021-04-02T20:17:25.009047+00:00","year":2021,"month":4,"season":9,"episode":13,"episode_label":"s09e13","canonical_url":"https://newsletter.danhon.com/archive/s09e13-mist-everywhere/","is_premium":0,"word_count":1853,"context":" … someone used the <mark>YOLOv3</mark> object detection model trained on the COCO dataset to recognize dogs when they go past [Github code for\nDog Detector\n] which is all well … ","reading_minutes":9}]}