Request: Document supported Objects

[RichardMawdsley]

Hi, would be great if you could list all supported objects somewhere (apologies if it is already but I've been unable to find it).

Person Dog Cat Cake Truck Car

etc.

Thanks!

[ChrisMaunder]

I'll add this to our docs. For now, our ObjectDetection (YOLO) uses the standard Yolov5 models trained on the COCO dataset. This covers the following object classes:

• person
• bicycle, car, motorbike, aeroplane, bus, train, truck, boat
• traffic light, fire hydrant, stop sign, parking meter, bench
• cat, dog, horse, sheep, cow, elephant, bear, zebra, giraffe
• backpack, umbrella, handbag, tie, suitcase, frisbee, skis, snowboard, sports ball, kite, baseball bat, baseball glove, skateboard, surfboard, tennis racket
• bottle, wine glass, cup, fork, knife, spoon, bowl
• banana, apple, sandwich, orange, broccoli, carrot, hot dog, pizza, donut, cake
• chair, sofa, pottedplant, bed, diningtable, toilet, tvmonitor, laptop, mouse, remote, keyboard, cell phone, microwave, oven, toaster, sink, refrigerator, book, clock, vase, scissors, teddy bear, hair drier, toothbrush

[MikeLud]

Below are custom model object classes

IPcam-combined Labels: - person, bicycle, car, motorcycle, bus, truck, bird, cat, dog, horse, sheep, cow, bear, deer, rabbit, raccoon, fox, skunk, squirrel, pig

IPcam-general Labels (includes dark models images): - person, vehicle

IPcam-animal Labels: - bird, cat, dog, horse, sheep, cow, bear, deer, rabbit, raccoon, fox, skunk, squirrel, pig

IPcam-dark Labels: - Bicycle, Bus, Car, Cat, Dog, Motorcycle, Person