Show HN: Using deep learning to detect objects from your webcam

Depending on how accurate you need your model to be, (and what platform you're looking to build on), you could use tfjs-yolo-tiny if it's a browser-based environment. Otherwise I'd recommend doing processing in the cloud using the full YOLO model which is more accurate than Tiny YOLO but slower (https://modeldepot.io/mikeshi/yolov2/overview) or FSSD which is more accurate than YOLO but slower (https://modeldepot.io/lzx1413/fssd/overview)

Oh and if you might be doing something self-driving car related, a segmentation network might be useful as well (ex. https://modeldepot.io/hellochick/pspnet/overview)

As for that detection, this model is using Tiny YOLO, it's a simpler ML model made to run on more constrained hardware (end user devices) and therefore does not perform as well as the full YOLO or SSD. The other issue is that usually these models take context heavily into account, a fun experiment is to raise anything (ex. wallet) up to your ear and it'll interpret it as a cell phone. I've read an interesting paper recently that forces models to focus more on the object itself than the context to classify things.