Related Objects of Interest: king cup sardines tomato sauce 155g, ligo tomato sauce 155g, ligo tomato sauce chili 155g, mega extra hot tomato sauce 155g, mega tomato sauce 155g, mega tomato sauce 425g, mega tomato sauce chili 155g, young's town tomato sauce 155g, * annotate, and create datasets, * auto-orientation of pixel data (with exif-orientation stripping)
Top 555 Datasets and Models
The datasets below can be used to train fine-tuned models for 555 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 555 datasets below.
by Thesis
125 images 7 classes
44 images 10 classes
71 images 10 classes
44 images 10 classes
4417 images 302 classes
555 Sardines in Tomato Sauce 555 Tuna Afritada 555 Tuna Caldereta 7UP Absolute Pure Distilled Drinking Water Alaska Classic Sweetened Condensed Filled Milk Alaska Condensada Alaska Evaporada All Natural Seasons Tropical Fruit Angel All Purpose Creamer Apple Aqua Life Filtration Systems Argentina Corned Beef Argentina Giniling Argentina Meat Loaf Bear Brand Fortified Powdered Drink Milk Bear Brand Swak Pack Chocomilk Bell Pepper Bingo Double Choco Bingo Orange Cream
132 images 132 classes
1149 images 7961 classes
by Deneme
3256 images 692 classes
* Auto-contrast via contrast stretching * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down * Random shear of between -14° to +14° horizontally and -15° to +15° vertically * Resize to 800x800 (Stretch) * Salt and pepper noise was applied to 1.13 percent of pixels * 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 100 101 102 103 104 105 106 107
by Deneme
3362 images 694 classes
* Auto-contrast via contrast stretching * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down * Random shear of between -14° to +14° horizontally and -15° to +15° vertically * Resize to 800x800 (Stretch) * Salt and pepper noise was applied to 1.13 percent of pixels * 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 100 101 102 103 104 105 106 107
45 images 2069 classes
mask person -0-0 -100-64878048780469 -1000-0022505626407 -1000-1762127875611 -1000-8264462809908 -1001-0032508127034 -1001-8777110212488 -1002-3880414131419 -1003-4712241544406 -1003-5545789548756 -1003-9399267094751 -1005-1809269702934 -1005-4692262573712 -1007-4300071058922 -1008-9999999999981 -1009-4100906134347 -1009-4150672768247 -1009-6934516720788
by Traffic
1958 images 1876 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 416x416 (Stretch) * 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 100 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 101