diff --git a/src/components/dialog/search/search.jsx b/src/components/dialog/search/search.jsx
index 44e9173..bc27e57 100644
--- a/src/components/dialog/search/search.jsx
+++ b/src/components/dialog/search/search.jsx
@@ -10,12 +10,13 @@ import Typography from '@mui/material/Typography';
 import SearchIcon from '@mui/icons-material/Search';
 import TextField from '@mui/material/TextField';
 import Skeleton from '@mui/material/Skeleton';
-import { InputAdornment, Stack, Button } from '@mui/material';
+import { InputAdornment, Stack, Button, Modal, IconButton } from '@mui/material';
 import MenuList from '@mui/material/MenuList';
 import MenuItem from '@mui/material/MenuItem';
 import ListItemIcon from '@mui/material/ListItemIcon';
 import CircularProgress from '@mui/material/CircularProgress';
 import Divider from '@mui/material/Divider';
+import CloseRoundedIcon from '@mui/icons-material/CloseRounded';
 
 // components
 import NoDataFound from 'src/illustrations/dataNotFound';
@@ -28,6 +29,65 @@ import { useCurrencyFormatter } from 'src/hooks/formatCurrency';
 // api
 import * as api from 'src/services';
 
+const axios = require('axios');
+
+const getImageUrl = async (ids) => {
+  const requestOptions = {
+    method: 'GET',
+    redirect: 'follow'
+  };
+
+  try {
+    const responses = await Promise.all(
+      ids.map(async (id) => {
+        const response = await fetch(
+          `https://api.roboflow.com/picup/picup/images/${id}?api_key=s9OJq0UPljSqkPsJY6xP`,
+          requestOptions
+        );
+        if (!response.ok) {
+          throw new Error(`Error fetching image for ID: ${id}, Status: ${response.status}`);
+        }
+        return response.json(); // JSON 응답 반환
+      })
+    );
+
+    return responses; // 모든 이미지 정보를 배열로 반환
+  } catch (error) {
+    console.error('Error fetching image URLs:', error);
+    return null; // 오류 발생 시 null 반환
+  }
+};
+
+const searchImages = async (imageBase64) => {
+  const myHeaders = new Headers();
+  myHeaders.append('Content-Type', 'application/json');
+
+  const raw = JSON.stringify({
+    like_image: 'MV09CPgMSn9uhQ5D2nl5',
+    limit: 3,
+    in_dataset: true
+  });
+
+  const requestOptions = {
+    method: 'POST',
+    headers: myHeaders,
+    body: raw,
+    redirect: 'follow'
+  };
+
+  try {
+    const response = await fetch(
+      'https://api.roboflow.com/picup/picup/search?api_key=s9OJq0UPljSqkPsJY6xP',
+      requestOptions
+    );
+    const result = await response.json();
+    return result; // 반환 추가
+  } catch (error) {
+    console.error('Error fetching images:', error);
+    throw error;
+  }
+};
+
 Search.propTypes = {
   onClose: PropTypes.func.isRequired,
   mobile: PropTypes.bool.isRequired
@@ -56,6 +116,9 @@ export default function Search({ ...props }) {
 
   const router = useRouter();
   const [search, setSearch] = React.useState('');
+  const [image, setImage] = React.useState(null);
+  const [imagesResultID, setImagesResultID] = React.useState(null);
+  const [roboFlowUrlLists, setRoboFlowUrlLists] = React.useState([]);
 
   const { data: filters, isLoading: filtersLoading } = useQuery(['get-search-filters'], () => api.getSearchFilters());
   const { mutate, isLoading } = useMutation('search', api.search, {
@@ -108,21 +171,48 @@ export default function Search({ ...props }) {
     }
   };
 
-  // 파일 선택 시 호출되는 함수
-  const handleFileChange = (event) => {
+  const handleFileChange = async (event) => {
     const file = event.target.files?.[0];
     if (file) {
-      console.log('Selected File:', file);
-
-      // 예: 파일을 서버에 업로드하거나 처리
       const reader = new FileReader();
-      reader.onload = () => {
-        console.log('Image Preview URL:', reader.result);
+      reader.onloadend = async () => {
+        const base64Image = reader.result.split(',')[1]; // base64 변환 후 접두사 제거
+        setImage(reader.result);
       };
       reader.readAsDataURL(file);
     }
   };
 
+  const objectDetect = async (image) => {
+    try {
+      const result = await searchImages(image);
+
+      // id 배열 추출
+      const imageIds = result.results.map((r) => r.id);
+
+      // 배열을 한 번에 저장
+      setImagesResultID(imageIds);
+
+      console.log('Image IDs:', imageIds); // 디버깅 출력
+    } catch (error) {
+      console.error('Error in image search:', error);
+    }
+  };
+
+  React.useEffect(() => {
+    if (imagesResultID && imagesResultID.length > 0) {
+      getImageUrl(imagesResultID).then((url) => {
+        setRoboFlowUrlLists(url);
+      });
+    }
+  }, [imagesResultID]);
+
+  React.useEffect(() => {
+    if (roboFlowUrlLists) {
+      console.log(roboFlowUrlLists);
+    }
+  }, [roboFlowUrlLists]);
+
   return (
     <>
       <TextField
@@ -167,7 +257,9 @@ export default function Search({ ...props }) {
           }
         }}
       />
-      <Button variant='contained' sx={{ width: '100%', borderRadius: 0 }} onClick={handleImageSearch}>이미지 검색</Button>
+      <Button variant="contained" sx={{ width: '100%', borderRadius: 0 }} onClick={handleImageSearch}>
+        이미지 검색
+      </Button>
       <input
         type="file"
         accept="image/*"
@@ -332,13 +424,13 @@ export default function Search({ ...props }) {
                             {isLoading ? <Skeleton variant="text" width="200px" /> : product.category}
                           </Typography>
                         </div>
-                        <Typography variant="subtitle1" color="text.primary" noWrap>
+                        {/* <Typography variant="subtitle1" color="text.primary" noWrap>
                           {isLoading ? (
                             <Skeleton variant="text" width="100px" />
                           ) : (
                             fCurrency(cCurrency(product.priceSale))
                           )}
-                        </Typography>
+                        </Typography> */}
                       </Stack>
                     </ListItemText>
                   </MenuItem>
@@ -347,6 +439,63 @@ export default function Search({ ...props }) {
             </>
           )}
         </Box>{' '}
+        {roboFlowUrlLists &&
+          roboFlowUrlLists.map((i, index) => (
+            <MenuList
+              key={`search-by-images-${i.image.annotation.key}-${index.toString()}`}
+              sx={{
+                pt: 0,
+                mt: 1,
+                overflow: 'auto',
+                px: 1,
+                li: {
+                  borderRadius: '8px',
+                  border: `1px solid transparent`,
+                  '&:hover, &.Mui-focusVisible, &.Mui-selected ': {
+                    border: (theme) => `1px solid ${theme.palette.primary.main}`,
+                    bgcolor: (theme) => alpha(theme.palette.primary.main, 0.16),
+                    h6: {
+                      color: 'primary.main'
+                    }
+                  },
+                  '&.active': {
+                    border: (theme) => `1px solid ${theme.palette.primary.main}`,
+                    bgcolor: (theme) => alpha(theme.palette.primary.main, 0.16),
+                    h6: {
+                      color: 'primary.main'
+                    }
+                  }
+                }
+              }}
+              autoFocusItem={!focus}
+            >
+              <MenuItem>
+                <ListItemIcon>
+                  <img
+                    alt="이미지"
+                    src={i.image.urls.original}
+                    style={{ width: '40px', height: '40px', borderRadius: '100%' }}
+                  />
+                </ListItemIcon>
+                <ListItemText>
+                  <Stack direction="row" gap={1} alignItems={'center'} justifyContent={'space-between'}>
+                    <div>
+                      <Typography variant="subtitle1" color="text.primary" noWrap>
+                        Object Data Set {index}
+                      </Typography>
+                      <Typography variant="body2" color="text.secondary" noWrap>
+                        {i.image.tags.map((i) => {
+                          return i;
+                        })}
+                        {` `}
+                        <span>{i.image.r * 100}%</span>
+                      </Typography>
+                    </div>
+                  </Stack>
+                </ListItemText>
+              </MenuItem>
+            </MenuList>
+          ))}
         {multiSelect && (
           <Stack gap={1} direction={'row'} p={1} justifyContent={'end'}>
             <Button variant="outlined" color="primary" onClick={() => handleSave(selectedProducts)}>
@@ -358,6 +507,42 @@ export default function Search({ ...props }) {
           </Stack>
         )}
       </Box>
+      {/* 이미지 미리보기 렌더링 */}
+      {image && (
+        <Modal
+          open={image}
+          sx={{ height: '100vh', width: '100vw', display: 'flex', justifyContent: 'center', alignItems: 'center' }}
+        >
+          <Box sx={{ position: 'relative' }}>
+            <Box mt={2} display="flex" justifyContent="center">
+              <IconButton
+                sx={{ position: 'absolute;', right: 0, top: 10, mixBlendMode: 'difference' }}
+                onClick={() => {
+                  setImage(null);
+                }}
+              >
+                <CloseRoundedIcon fontSize="small" />
+              </IconButton>
+              <img
+                src={image}
+                style={{
+                  maxWidth: '100%',
+                  maxHeight: '300px',
+                  borderRadius: '8px',
+                  border: '1px solid #ddd'
+                }}
+              />
+
+              <Button
+                sx={{ position: 'absolute', bottom: 0, left: '50%', transform: 'translate(-50%, 0px)' }}
+                onClick={() => objectDetect(image)}
+              >
+                이미지 상품 검색
+              </Button>
+            </Box>
+          </Box>
+        </Modal>
+      )}
     </>
   );
 }
diff --git a/src/components/upload/UploadMultiFile.jsx b/src/components/upload/UploadMultiFile.jsx
index 92791af..25f0d04 100644
--- a/src/components/upload/UploadMultiFile.jsx
+++ b/src/components/upload/UploadMultiFile.jsx
@@ -12,6 +12,8 @@ import { varFadeInRight } from '../animate';
 // react dropzone
 import { useDropzone } from 'react-dropzone';
 
+
+
 const DropZoneStyle = styled('div')(({ theme }) => ({
   outline: 'none',
   display: 'flex',