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 SinfonIA
10006 images 20 classes
1151 images 10 classes
by benny
300 images 100 classes
ACEITE_DE_OLIVA_ESPONAL_CARBONELL ALMOND TOSCANI ARDMONA CHOPPED TOMATOES ARNOTTS_JATZ_CRACKED_PEPPER ARNOTTS_PREMIER_CHOC CHIP & NUT COOKIES ASPRO CLEAR BEANS_MEXICAN CHILLI BOAGS STGEORGE BRITA BRITA MARELLA COOL BUCKWHEAT CENOVIS_WOMENS MULTI VITAMINS&MINERALS COLES RELIANCE COLES_PEACH_SLICES COLGATE SENSITIVE COOLABAH_DRY_RED DAIRY_MILK DANDELION_NATURAL_COFEE_ALTERNATIVE EASEACOLD EXTRA VIRGIN OLIVE OIL ALTIC TRADITIONAL
by Aliya
54 images 16 classes
7 Up 320mL Ace Yakult Light 80 mL Ayam Brand Tuna Chunks in Water 150g Chartreu Strawberry Syrup 659mL Chipsmore Mini Double Choc 80g Mister Potato Crips Honey Cheese 125g Munchiy’s Muzic Bites Chocolate Hazelnut Wafer 180g Munchy’s 7 Days Croissant Vanilla 60g Nestle Honey Stars 25g Nestle Milo Cereal 80g Nestle Milo Chocolate Malt 400g Nona Sesame Oil 140mL Oreo Original 68.5g Pepsi 320mL Ribena Mobile Regular 330mL Yeo’s Grass Jelly 300mL
by DLProject
9271 images 249 classes
by SAMI TEAM
595 images 10 classes
by robocup2022
6404 images 47 classes