Top Cereal Datasets and Models
The datasets below can be used to train fine-tuned models for cereal detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.
At the bottom of this page, we have guides on how to train a model using the cereal datasets below.
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 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
1151 images 10 classes
5987 images 6 classes
by RoboCup2023
1277 images 44 classes
2952 images 11 classes
595 images 9 classes
by YoloV5
2015 images 82 classes
by AmanGupta
562 images 102 classes
by Kyuyoung Kim
420 images 194 classes
3364 images 21 classes