Related Objects of Interest: * annotate, and create datasets, * auto-orientation of pixel data (with exif-orientation stripping), * 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, ==============================, for state of the art computer vision training notebooks you can use with this dataset,, roboflow is an end-to-end computer vision platform that helps you
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
44 images 10 classes
71 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
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
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
132 images 132 classes
529 images 4201 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 100 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 101 1010
1149 images 7961 classes
by kantharaju
2140 images 31 classes
355-Curling 555-Bobbara 555-Gemini 555-White fly 696-Curling 999-Gemini Arumuru-Curling Arumuru-Gemini Badiga-Gemini Bangaram-Curling Bullet-Black fungus Bullet-Curling Charkolu-Bobbara Energy-5-Black fungus Energy-5-Curling G-5-Curling Ganga-Black fungus Ganga-Curling Kalyani-Curling Kalyani-White fly
by kantharaju
2277 images 31 classes
355-Curling 555-Bobbara 555-Gemini 555-White fly 696-Curling 999-Gemini Arumuru-Curling Arumuru-Gemini Badiga-Gemini Bangaram-Curling Bullet-Black fungus Bullet-Curling Charkolu-Bobbara Energy-5-Black fungus Energy-5-Curling G-5-Curling Ganga-Black fungus Ganga-Curling Kalyani-Curling Kalyani-White fly
159 images 171 classes
125-697354497355 131-543498411017 148-45291005291 187-462433862434 196-131216931217 230-806349206349 247-060317460317 251-968369306144 254-645502645503 263-314285714286 277-401058201058 279-568253968254 281-73544973545 284-5107421875 293-655026455026 294-273454051907 305-574603174603 311-050847457627 317-053115068856 326-815826933263
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