{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/9020cdd8ff784c7c97e20cc5e01bdda6\" frameborder=\"0\" width=\"1664\" height=\"1248\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1248,"width":1664,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1248,"thumbnail_width":1664,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/9020cdd8ff784c7c97e20cc5e01bdda6-e6d0a509b59d0f5d.gif","duration":33.3704,"title":"Testing a Pre-Trained Model for Daytime and Nighttime Classification","description":"In this video, I discuss a pre-trained model designed to classify images into two categories: daytime and nighttime. Daytime is identified by the presence of light, while nighttime is indicated by darkness. I also demonstrated how to test the model by clicking on a specific link. I encourage you to explore this model further and experiment with it by covering the camera to see how it reacts. Your feedback on this would be greatly appreciated!"}