Related Objects of Interest: fried rice, miso soup, rice, garbage, baek kimchi, banquet noodles, bean sprout soup, beef-bone soup, bellflower greens, bibimbap
Top Raw Datasets and Models
The datasets below can be used to train fine-tuned models for raw 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 raw datasets below.
991 images 51 classes
by pub
168 images 113 classes
464 images 4 classes
464 images 4 classes
3941 images 29 classes
hand Boil-Over-Warning Boiling-Water-Saucepan Bolognese-Pan Bread-Slice Buttered-Bread Carrot Chopped-Carrots Chopped-Red-Onion Chopped-White-Onion Diagonally-Cut-Sandwich Empty-Pan Horizontal-Cut-Sandwich Jam-Bread Mixed-Herbs Onion-Carrot-Tomato-Pan Pasta-Cooking-Saucepan Pepper Quorn Raw-Pasta-Saucepan
1531 images 23 classes
by Suhjeong Kim
2630 images 65 classes
by Anonymous
2628 images 53 classes
1567 images 20 classes
238 images 3 classes
2807 images 20 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 nci
934 images 75 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 0 1 10 11 12 13 14 15 16 17 18 19 2
1473 images 59 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 18 19 20 21 22 23 24 25 26 27 28 29 30
by x
632 images 5 classes