code: def image_request(self, image, filename, params=None):
          
          data = self._init_data(params)
          response = requests.post(REQUESTS_URL, headers={
              'Authorization': self.auth.authorize('POST', REQUESTS_URL, params),
              'User-Agent': USER_AGENT,
          }, data=data, files={'image_request[image]': (filename, image)})
          return self._unwrap_error(response)
docs: Send an image for classification. The image is a file-like object. The
          params parameter is optional.
          
          On success this method will immediately return a job information. Its
          status will initially be :py:data:`cloudsight.STATUS_NOT_COMPLETED` as
          it usually takes 6-12 seconds for the server to process an image. In
          order to retrieve the annotation data, you need to keep updating the job
          status using the :py:meth:`cloudsight.API.image_response` method until
          the status changes. You may also use the :py:meth:`cloudsight.API.wait`
          method which does this automatically.
  
          :param image: File-like object containing the image data.
          :param filename: The file name.
          :param params: Additional parameters for CloudSight API.