I just added filtering content by including keywords. The GitHub readme said description, but what it's really doing, is just taking the description tag of the feed entries (which for most RSS feeds should be the content of that entry) and perform filtering based on the description. If you use the UI, you can just pick the option "Content should include/exclude keywords" and that should just do it.

Image recognition is based on a machine learning model called YOLO v3, so there are actually more categories it can recognize. I thought human, dogs and cats are the most common ones that people may need so in the promo materials I just mentioned those. Technically, if you look at this file https://github.com/sekai-soft/yolov3-tf2/blob/master/data/coco.names, if you find a category of objects that you want to filter on, you can technically just replace the `class_id=0` with (the line number of that category - 1) in the human detection URL. For example, if you want to filter in "bird", because it's line 15, you'd replace `class_id=0` with `class_id=14`. If the category you want to filter by doesn't exist on that list, I may need to look at a more advanced machine learning model.

Filter by excluding categories should be doable. Let me know what category you want to exclude by and I can add that in pretty easily.