The /image/facedetect Robot
We offer Artificial Intelligence as a service, so you don't have to run your own AI models or install complicated software.
The /image/facedetect Robot detects faces in images and returns their coordinates, or cuts them from the original images and returns those as new images.
||(required) String / Array of Strings / Object||
GeneralSpecifies which Step(s) to use as our input.
Special Step namesA special Step name is
Providing several Steps as inputYou can add arrays to
That's likely all you need to know about
› Advanced use cases
Step bundlingSome Robots can gather several Step results for a single invocation. For example, the /file/compress Robot would normally create one archive for each file passed to it. If you'd set
This is also a crucial parameter for the /video/adaptive Robot, otherwise you'll generate 1 playlist for each viewing quality.
Keep in mind that all input Steps must be present in your Template. If one of them is missing (for instance it is rejected by a filter), no result is generated because the Robot waits indefinitely for all input Steps to be finished. Here's a demo that showcases Step bundling.
Group by originalSticking with the /file/compress Robot example, you can set
FieldsYou can be more discriminatory by only using files that match a field name by setting the
Use AsSometimes Robots take several inputs. For instance, the /video/merge Robot can create a slideshow from audio and images. You can map different Steps to the appropriate inputs. Example:
Sometimes the ordering is important, for instance, with our concat Robots. In these cases, you can add an index that starts at 1. You can also optionally filter by the multipart field name. Like in this example, where all files are coming from the same source (end-user uploads), but with different
For times when it is not apparent where we should put the file, you can use Assembly Variables to be specific. For instance, you may want to pass a text file to the /image/resize Robot to burn the text in an image, but you are burning multiple texts, so where do we put the text file? We use specify it via
||Determine if the detected faces should be extracted. If this option is set to
||Specifies how much padding is added to the extracted face images if
||Determines the output format of the extracted face images if
||Specifies the miminum confidence that a detected face must have. Only faces which have a higher confidence value than this threshold will be included in the result.|
||String / Integer||
||Determines which of the detected faces should be returned. Valid values are:
- any integer: The faces are sorted by their top-left corner and the integer determines the index of the returned face. Be aware the values are zero-indexed, meaning that
For the following examples, the input image is:
Our /image/facedetect Robot can be used in combination with other Robots, to create powerful workflows unique to your use case. Here are a few example scenarios that you can try live on our website:
Transloadit is a SaaS with a subscription model.
Our /image/facedetect Robot counts towards your plan's data at a normal rate. It charges at minimum 1MB whenever it is used. Assuming the Startup Plan and an average image size of 0.8MB, you could detect 8192 images for $49/month.
Just like with your mobile plan, pricing goes down considerably when you commit to larger monthly volumes. You can adjust this every month. More info and available plans on our Pricing page.
Blog posts about the /image/facedetect Robot
We wrote the following posts about the /image/facedetect Robot on our blog:
- Adding support for image face detection February 5, 2016