I have created a large data set of images (800 odd) which Iām annotating by hand. I noticed that the Roboflow help info indicates there is an Auto Label option in the Upload area but itās not being displayed, I only seem to have the manual annotation option. Can anybody tell me how to get access to the auto annotation function?
Hi there - what project type are you using?
You are likely using a project type that doesnāt support Auto Label (like Multimodal).
If you let me know where in the UI youāre seeing that helper text let me know and I can clarify it.
Hi Jacob,
Iām relatively new at this, what do you mean by project type? My project is called Bucket Tracking and using Key Point Detection - https://app.roboflow.com/tracking-test-yqcy2/bucket-tracking/
I seem to recall there was a menu available when I first started messing around with Roboflow, but steep learning curve and blurā¦ I just did a search on Auto Label and thereās a whole pile of useful info but my set up only allows āManual Annotationā.
I may have sorted my own problem outā¦
This began as a āwhat ifā project, not expecting it to workā¦BUT it works so well, itās now a hurry up and produce a decent sized database. About 2000 images will do for each of the 4 classes, but thatās a lot of workā¦ Anyway, I figured out how to use my already trained model to run through a mp4 video and pull out and identify every nth frame. It then creates a file name and loads the image into the correct directory based on the class it identified. This speeds the annotation process up greatly as each directory contains images that are similar and the annotations just need some tweaking after using the āRepeat Previousā buttonā¦
Then in a ālight bulbā moment I realised it produces the box and key point coordinates with each new inference, I need to figure out how to create the correct formatted file to import the new file directly into the import section somewhere. The new images will already be classified and annotated. All I need to do is a quick check for accuracy and add them to the data set??? If that makes any sense???
Question about annotating?
In some of my images the Key Points are partially obscured, and some slightly off the image all together. Generally I mark them as āObscuredā if theyāre in the image. Should I be deleting the keypoint if itās not on the image??
Thanks!
Brent Simpson
BTW: Roboflow is awesomeā¦
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Hi @automateme2 - thanks for all the context and Iām glad youāre surprising yourself with good results 
Project type is the same as task type, this can include Object Detection, Instance Segmentation, Classification, etc. In your case, itās Keypoint Detection.
Unfortunately, Auto Label is not supported currently with Keypoint Detection (Iāve flagged this internally, we may be able to push out a quick fix).
For your labeling flow, you might have a much easier time using Workflows ā we literally built it for cases like this. You can run a model and selectively upload images directly to Roboflow with the correct annotation format. Youāre correct that you should be manually reviewing images before adding them to your dataset.
On the question of obscured keypoints, the rule of thumb is you should label images exactly how you would like your model to respond to the given input. If you want it to not give a keypoint, mark it obscured.
@automateme2 - I talked with the team, and unfortunately adding Auto Label for keypoint is not a quick fix and weāre not able to prioritize it in the next ~month.
If others are running into this and want to see the feature, let us know! Will make it easier to prioritize.
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