LnRiLWdyaWQsLnRiLWdyaWQ+LmJsb2NrLWVkaXRvci1pbm5lci1ibG9ja3M+LmJsb2NrLWVkaXRvci1ibG9jay1saXN0X19sYXlvdXR7ZGlzcGxheTpncmlkO2dyaWQtcm93LWdhcDoyNXB4O2dyaWQtY29sdW1uLWdhcDoyNXB4fS50Yi1ncmlkLWl0ZW17YmFja2dyb3VuZDojZDM4YTAzO3BhZGRpbmc6MzBweH0udGItZ3JpZC1jb2x1bW57ZmxleC13cmFwOndyYXB9LnRiLWdyaWQtY29sdW1uPip7d2lkdGg6MTAwJX0udGItZ3JpZC1jb2x1bW4udGItZ3JpZC1hbGlnbi10b3B7d2lkdGg6MTAwJTtkaXNwbGF5OmZsZXg7YWxpZ24tY29udGVudDpmbGV4LXN0YXJ0fS50Yi1ncmlkLWNvbHVtbi50Yi1ncmlkLWFsaWduLWNlbnRlcnt3aWR0aDoxMDAlO2Rpc3BsYXk6ZmxleDthbGlnbi1jb250ZW50OmNlbnRlcn0udGItZ3JpZC1jb2x1bW4udGItZ3JpZC1hbGlnbi1ib3R0b217d2lkdGg6MTAwJTtkaXNwbGF5OmZsZXg7YWxpZ24tY29udGVudDpmbGV4LWVuZH0ud3B2LXBhZ2luYXRpb24tbmF2LWxpbmtzW2RhdGEtdG9vbHNldC12aWV3cy12aWV3LXBhZ2luYXRpb24tYmxvY2s9IjYzMzY4YzA0OTdlYzg4YWRmM2E4ZTEzZTNjZWE4OWNmIl0geyB0ZXh0LWFsaWduOiBjZW50ZXI7anVzdGlmeS1jb250ZW50OiBjZW50ZXI7bWFyZ2luLXRvcDogMTAwcHg7bWFyZ2luLWJvdHRvbTogMTAwcHg7IH0gLndwdi1wYWdpbmF0aW9uLW5hdi1saW5rc1tkYXRhLXRvb2xzZXQtdmlld3Mtdmlldy1wYWdpbmF0aW9uLWJsb2NrPSI2MzM2OGMwNDk3ZWM4OGFkZjNhOGUxM2UzY2VhODljZiJdIC5wYWdlLWl0ZW0gYS5wYWdlLWxpbmssIC53cHYtcGFnaW5hdGlvbi1uYXYtbGlua3NbZGF0YS10b29sc2V0LXZpZXdzLXZpZXctcGFnaW5hdGlvbi1ibG9jaz0iNjMzNjhjMDQ5N2VjODhhZGYzYThlMTNlM2NlYTg5Y2YiXSAud3B2LWZpbHRlci1wYWdpbmF0aW9uLWxpbmssIC53cHYtcGFnaW5hdGlvbi1uYXYtbGlua3NbZGF0YS10b29sc2V0LXZpZXdzLXZpZXctcGFnaW5hdGlvbi1ibG9jaz0iNjMzNjhjMDQ5N2VjODhhZGYzYThlMTNlM2NlYTg5Y2YiXSBzcGFuLndwdi1maWx0ZXItcHJldmlvdXMtbGluaywgLndwdi1wYWdpbmF0aW9uLW5hdi1saW5rc1tkYXRhLXRvb2xzZXQtdmlld3Mtdmlldy1wYWdpbmF0aW9uLWJsb2NrPSI2MzM2OGMwNDk3ZWM4OGFkZjNhOGUxM2UzY2VhODljZiJdIHNwYW4ud3B2LWZpbHRlci1uZXh0LWxpbmsgeyBmb250LXNpemU6IDIwcHg7Y29sb3I6IHJnYmEoIDI1NSwgMjU1LCAyNTUsIDEgKTtiYWNrZ3JvdW5kLWNvbG9yOiByZ2JhKCA1MSwgNTEsIDUxLCAxICk7IH0gLndwdi1wYWdpbmF0aW9uLW5hdi1saW5rc1tkYXRhLXRvb2xzZXQtdmlld3Mtdmlldy1wYWdpbmF0aW9uLWJsb2NrPSI2MzM2OGMwNDk3ZWM4OGFkZjNhOGUxM2UzY2VhODljZiJdIC5wYWdlLWl0ZW0gYS5wYWdlLWxpbms6aG92ZXIsIC53cHYtcGFnaW5hdGlvbi1uYXYtbGlua3NbZGF0YS10b29sc2V0LXZpZXdzLXZpZXctcGFnaW5hdGlvbi1ibG9jaz0iNjMzNjhjMDQ5N2VjODhhZGYzYThlMTNlM2NlYTg5Y2YiXSBhLndwdi1maWx0ZXItcGFnaW5hdGlvbi1saW5rOmhvdmVyIHsgZm9udC1zaXplOiAyMHB4O2NvbG9yOiByZ2JhKCAyNTUsIDI1NSwgMjU1LCAxICk7YmFja2dyb3VuZC1jb2xvcjogcmdiYSggMzUsIDEzNCwgNTQsIDEgKTsgfSAud3B2LXBhZ2luYXRpb24tbmF2LWxpbmtzW2RhdGEtdG9vbHNldC12aWV3cy12aWV3LXBhZ2luYXRpb24tYmxvY2s9IjYzMzY4YzA0OTdlYzg4YWRmM2E4ZTEzZTNjZWE4OWNmIl0gLnBhZ2UtaXRlbS5hY3RpdmUgc3Bhbi5wYWdlLWxpbmssIC53cHYtcGFnaW5hdGlvbi1uYXYtbGlua3NbZGF0YS10b29sc2V0LXZpZXdzLXZpZXctcGFnaW5hdGlvbi1ibG9jaz0iNjMzNjhjMDQ5N2VjODhhZGYzYThlMTNlM2NlYTg5Y2YiXSAud3B2LXBhZ2luYXRpb24tbmF2LWxpbmtzLWl0ZW0tY3VycmVudCBzcGFuLndwdi1maWx0ZXItcGFnaW5hdGlvbi1saW5rIHsgZm9udC1zaXplOiAyMHB4O2NvbG9yOiByZ2JhKCA1MSwgNTEsIDUxLCAxICk7YmFja2dyb3VuZC1jb2xvcjogcmdiYSggMjU1LCAyNTUsIDI1NSwgMSApOyB9IEBtZWRpYSBvbmx5IHNjcmVlbiBhbmQgKG1heC13aWR0aDogNzgxcHgpIHsgLnRiLWdyaWQsLnRiLWdyaWQ+LmJsb2NrLWVkaXRvci1pbm5lci1ibG9ja3M+LmJsb2NrLWVkaXRvci1ibG9jay1saXN0X19sYXlvdXR7ZGlzcGxheTpncmlkO2dyaWQtcm93LWdhcDoyNXB4O2dyaWQtY29sdW1uLWdhcDoyNXB4fS50Yi1ncmlkLWl0ZW17YmFja2dyb3VuZDojZDM4YTAzO3BhZGRpbmc6MzBweH0udGItZ3JpZC1jb2x1bW57ZmxleC13cmFwOndyYXB9LnRiLWdyaWQtY29sdW1uPip7d2lkdGg6MTAwJX0udGItZ3JpZC1jb2x1bW4udGItZ3JpZC1hbGlnbi10b3B7d2lkdGg6MTAwJTtkaXNwbGF5OmZsZXg7YWxpZ24tY29udGVudDpmbGV4LXN0YXJ0fS50Yi1ncmlkLWNvbHVtbi50Yi1ncmlkLWFsaWduLWNlbnRlcnt3aWR0aDoxMDAlO2Rpc3BsYXk6ZmxleDthbGlnbi1jb250ZW50OmNlbnRlcn0udGItZ3JpZC1jb2x1bW4udGItZ3JpZC1hbGlnbi1ib3R0b217d2lkdGg6MTAwJTtkaXNwbGF5OmZsZXg7YWxpZ24tY29udGVudDpmbGV4LWVuZH0gfSBAbWVkaWEgb25seSBzY3JlZW4gYW5kIChtYXgtd2lkdGg6IDU5OXB4KSB7IC50Yi1ncmlkLC50Yi1ncmlkPi5ibG9jay1lZGl0b3ItaW5uZXItYmxvY2tzPi5ibG9jay1lZGl0b3ItYmxvY2stbGlzdF9fbGF5b3V0e2Rpc3BsYXk6Z3JpZDtncmlkLXJvdy1nYXA6MjVweDtncmlkLWNvbHVtbi1nYXA6MjVweH0udGItZ3JpZC1pdGVte2JhY2tncm91bmQ6I2QzOGEwMztwYWRkaW5nOjMwcHh9LnRiLWdyaWQtY29sdW1ue2ZsZXgtd3JhcDp3cmFwfS50Yi1ncmlkLWNvbHVtbj4qe3dpZHRoOjEwMCV9LnRiLWdyaWQtY29sdW1uLnRiLWdyaWQtYWxpZ24tdG9we3dpZHRoOjEwMCU7ZGlzcGxheTpmbGV4O2FsaWduLWNvbnRlbnQ6ZmxleC1zdGFydH0udGItZ3JpZC1jb2x1bW4udGItZ3JpZC1hbGlnbi1jZW50ZXJ7d2lkdGg6MTAwJTtkaXNwbGF5OmZsZXg7YWxpZ24tY29udGVudDpjZW50ZXJ9LnRiLWdyaWQtY29sdW1uLnRiLWdyaWQtYWxpZ24tYm90dG9te3dpZHRoOjEwMCU7ZGlzcGxheTpmbGV4O2FsaWduLWNvbnRlbnQ6ZmxleC1lbmR9IH0g
이미지 AI
이미지 AI는 이미지 인식, 분류, 생성 및 처리에 사용되는 인공 지능 기술을 의미합니다. 이 기술은 컴퓨터 비전과 딥러닝 알고리즘을 활용하여 이미지를 이해하고 해석합니다.이미지 인식 및 분류에서는 이미지 내의 객체, 얼굴, 장면 등을 식별하고 분류하는 기능을 제공합니다. 예를 들어, 사진에서 사람이나 동물의 얼굴을 인식하거나 자동차, 건물 등의 객체를 식별할 수 있습니다.이미지 생성은 주어진 텍스트 설명이나 예시 이미지를 기반으로 새로운 이미지를 생성하는 것을 의미합니다. 이를 통해 실제로 존재하지 않는 가상의 이미지를 만들 수 있습니다.이미지 처리에는 이미지 수정이나 개선이 포함됩니다. 이미지의 해상도를 높이거나 노이즈를 제거하거나 색상 밸런스를 조정하는 등의 작업이 수행될 수 있습니다.