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Top Mug Computer Vision Models
The models below have been fine-tuned for various mug detection tasks. You can try out each model in your browser, or test an edge deployment solution (i.e. to an NVIDIA Jetson). You can use the datasets associated with the models below as a starting point for building your own mug detection model.
At the bottom of this page, we have guides on how to count mugs in images and videos.
8.6k images 65 classes 1 model
134 images 22 classes 3 models
676 images 32 classes 1 model
51 images 6 classes 2 models
92 images 3 classes 1 model
3.6k images 40 classes 1 model
710 images 39 classes 2 models
553 images 193 classes 1 model
209 images 25 classes 1 model
4.8k images 31 classes 1 model
173 images 16 classes 1 model
1.2k images 277 classes 1 model
ball football mug notebook Navrang tea-250kg actII-classicssalted-popcorn activewheel-detergentpowder-1kg aim-matchbox-mini ambari-haldipowder-200 amul-chocominis-chocolates-500 autoflow-feedingbottle axe-signature-diodrunt-122ml axe-signaturemysterious-diodrunt-122ml ayur-cleansingmilk-150ml bajaj-almonddrop-hairoil-250ml balaji-sevmurmura-25 balaji-singaporeloban-cupdhoopsambrani-250 balaji-wheels-masala-30 balajiwafers-masalamasti-tomato-30 ball-playingball