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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.
6.4k images 47 classes 1 model
388 images 20 classes 1 model
9.3k images 249 classes 1 model
595 images 10 classes 2 models
300 images 100 classes 1 model
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
4.8k images 9 classes 2 models