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Top Popcorn Computer Vision Models
The models below have been fine-tuned for various popcorn 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 popcorn detection model.
At the bottom of this page, we have guides on how to count popcorns in images and videos.
8.7k images 8 classes 1 model
591 images 101 classes 1 model
Bacchus Decaffeinated Bear's Original nacho Cantata Sweet Americano Can Carbo Fire Chicken Stir-Fried Noodles Cass Whal Myung Su Chapagetti Big Bowl Noodles Cheongha dark blue Cheongha sky blue Chocoemon drink ice Fresh Udon Noodles Fresh and Sweet Yogeolli Gatorade Lemon Flavor Guinness extra stout dark lively Hite Extra Cold Can Hot Chicken Fried Noodles Jalapeno Cheese Kirin Ichiban Large Cup of Stir-Fried Gan Jjambbong Lotte Chilsung Cider Can Lotte Watermelon Bar Ade Master Vanilla Black Pet
7.2k images 44 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
539 images 51 classes 3 models
74 images 49 classes 1 model
992 images 44 classes 1 model
699 images 4 classes 2 models
6.2k images 42 classes 1 model
5.5k images 52 classes 1 model
595 images 10 classes 2 models
442 images 61 classes 1 model
3.6k images 40 classes 1 model
9.6k images 57 classes 2 models
144 images 7 classes 1 model
1.3k images 50 classes 1 model
1.3k images 50 classes 1 model