Nice list! I like the plant pathology one (seems like a multi-label classification problem) and the facial keypoints detection (seems similar to the book’s example with the Biwi Kinect Head Pose dataset)
Ah nice! Yes, I think the plant pathology should be a multi-label classification. This might make it even a bit more interesting. Regarding the keypoint detection: Yes, I also think it’s similar to Kinect dataset. I wonder if a keypoint detection can be further used as a first step for other application, e.g. anonymizing faces in videos streams (or webcam) by putting something over the faces. Here, keypoints might help to do that.
This is really interesting, too! However, the data is quite huge. I use Google Colab, which has limited storage space. So, I probably can’t do this one.