Top Cereal Computer Vision Models
The models below have been fine-tuned for various cereal 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 cereal detection model.
At the bottom of this page, we have guides on how to count cereals in images and videos.
by SAMI TEAM
595 images 10 classes
by DLProject
9271 images 249 classes
by AmanGupta
562 images 102 classes
by osmando
706 images 1342 classes
animal car drink mushroom rock wine glass 2 bottles on a rock next to fruit in front of orange background. 2 brown paper boxes in front of light brown background 2 cream bottles in front of blue tiles 2 macarons on a rock block in front of light orange background 3 black bottles next to yellow stairs and dry flower with shadow 3 blue bottles on blue plates next to dry nuts 3 bottles in front of light background with shadows 3 bottles in front of light brown background with shadows. 3 bottles in front of light gray background with shadows of a plant. 3 boxes in front of dark background 3 perfume bottles on reflective gray surface 4 paper boxes in front of light yellow background 4 potteries on a marble table 6 white bowls of spices on a wooden surface
by My Workspace
300 images 102 classes
6Pack Extra Almond Toscani Altis Traditional Olive Oil Ardmona Chopped Tomatoes Aspro Clear BRITA Filter Cartridges BRITA Wasserfilter Betta Natural Gold Cones Boag's St George CD-RW Mtv Cadbury Dairy Milk Cadbury Roses Carbonell Cenovis 62 caps Chocolate Flavoured Biscuits Colgate Sensitive Confetteria Raffaello Coolabah Dry red Ease a Cold Extra Virgin Olive Oil
1027 images 6 classes