--- title: Images Reporting --- The [image_reporting.py](https://github.com/allegroai/clearml/blob/master/examples/reporting/image_reporting.py) example demonstrates reporting (uploading) images in several formats, including: * NumPy arrays * uint8 * uint8 RGB * PIL Image objects * Local files. ClearML uploads images to the bucket specified in the ClearML [configuration file](../../configs/clearml_conf.md), or ClearML can be configured for image storage, see [Logger.set_default_upload_destination](../../references/sdk/logger.md#set_default_upload_destination) (storage for [artifacts](../../fundamentals/artifacts.md#setting-upload-destination) is different). Set credentials for storage in the ClearML configuration file. When the script runs, it creates an experiment named `image reporting`, which is associated with the `examples` project. Report images using several formats by calling the [Logger.report_image](../../references/sdk/logger.md#report_image) method: ```python # report image as float image m = np.eye(256, 256, dtype=np.float) Logger.current_logger().report_image("image", "image float", iteration=iteration, image=m) # report image as uint8 m = np.eye(256, 256, dtype=np.uint8) * 255 Logger.current_logger().report_image("image", "image uint8", iteration=iteration, image=m) # report image as uint8 RGB m = np.concatenate((np.atleast_3d(m), np.zeros((256, 256, 2), dtype=np.uint8)), axis=2) Logger.current_logger().report_image( "image", "image color red", iteration=iteration, image=m ) # report PIL Image object image_open = Image.open(os.path.join("data_samples", "picasso.jpg")) Logger.current_logger().report_image( "image", "image PIL", iteration=iteration, image=image_open ) ``` ClearML reports these images as debug samples in the **ClearML Web UI** **>** experiment details **>** **RESULTS** tab **>** **DEBUG SAMPLES** sub-tab. ![image](../../img/examples_reporting_07.png) Double click a thumbnail, and the image viewer opens. ![image](../../img/examples_reporting_07a.png)