---
title: Image Reporting
---
The [image_reporting.py](https://github.com/clearml/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](../../clearml_sdk/task_sdk.md#setting-upload-destination) is different). Set credentials for
storage in the ClearML configuration file.
When the script runs, it creates a task named `image reporting` in the `examples` project.
Report images using several formats by calling [`Logger.report_image()`](../../references/sdk/logger.md#report_image):
```python
# report image as float image
m = np.eye(256, 256, dtype=np.float)
Logger.current_logger().report_image(title="image", series="image float", iteration=iteration, image=m)
# report image as uint8
m = np.eye(256, 256, dtype=np.uint8) * 255
Logger.current_logger().report_image(title="image", series="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(
title="image",
series="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(
title="image",
series="image PIL",
iteration=iteration,
image=image_open
)
```
ClearML reports these images as debug samples in the **ClearML Web UI**, under the task's
**DEBUG SAMPLES** tab.
Click a thumbnail to open the image viewer.
