Search Results for class:wheat-2
Object Detection
347 images·5
Aarambh tea bottomAarambh tea front1Aarambh tea randAarambh tea side1Aashirvaad aata backAashirvaad aata front 2Aashirvaad aata front1American Garden top1American garden backAmerican garden frontAmul Garlic Herbs frontAmul butter herbs topAmul cheese spreadAmul cheese spread backAmul cheese spread side1Amul cheese spread side2Amul garlic herbs backAmul garlic herbs side1Amul garlic herbs side2Amul garlic herbs top2
Object Detection
501 images·1 model
4700Bc Microwave Popcorn - Butter 85 GMs7 Up Nimbooz Soft Drink 250 ML7 Up Soft Drink 250 MLAashirvaad Shudh Chakki AttaAashirvaad Superior Mp Whole Wheat Atta 5 kgAct Ii Butter Delite Popcorn Pouch 60 GMsAct Ii Butter Lovers Popcorn 33 GMsAct Ii Instant Golden Sizzle Popcorn 120 gmAct Ii Nachoz Tomato 60 gmAer Musk After Smoke Room Frshnr 300 MLAmerican Garden Jalapeno Pepper - Sliced Bottle 454 MLAmul Almondo - Roasted Almonds Coated With Milk Chocolate 200 g 200 gmAmul Alphonso Mango Cup Ice Cream 100 MLAmul Asli Aam Ice Cream 80 MLAmul Badam Pista Shrikhand 200 GMsAmul Buttermilk Pouch 500 MLAmul Cheese Block 200 GMsAmul Cheese Cubes 200 GMsAmul Chocolate Ice Cream 750 MLAmul Cow Milk 500 ML
Object Detection
116 images·1 model
Instance Segmentation
4.24k images·1 model
object[Banana : 110 calories(100g), 0 gram fat, 1 gram protein, 28 grams carbohydrate, 15 grams sugar, 3 grams fiber,450 mg potassium.][BeetRoot : 43 calories(100g),Nutrition : fiber, folate (vitamin B9), manganese, potassium, iron, and vitamin C][Bread : 265 calories(100g),Ingredients : Flour.Yeast,Salt,Water][Turkish Sandwich : 329 calories(1),Ingredients : turkey, bacon, lettuce, tomato, mayonnaise, and bread, Receipe: Preheat your oven to 350°F (175°C). Place the sesame seeds in a shallow bowl. Wet the surface of each simit slightly, then dip it in the sesame seeds, coating it evenly. Place the sesame-coated simits on a baking sheet and bake for about 10 minutes, or until they are slightly crispy on the outside. While the simits are baking, prepare your sandwich fillings. Slice the tomato, cucumber, and cheese. Once the simits are done, remove them from the oven and let them cool slightly. To assemble the sandwiches, slice each simit in half horizontally. Place a slice of cheese on the bottom half of each simit, followed by a couple of slices of sujuk, tomato, cucumber, and parsley leaves. Drizzle a little olive oil over the fillings, then place the top half of the simit on top to close the sandwich. Serve the sandwiches warm and enjoy!][chicken sandwich : 470 calories(100g),Ingredients : spices, crispy chicken, tomato, mayo, pickles,toasted bun, Receipe: Preheat your oven to 400°F (200°C). Season the chicken breasts with salt and pepper. In a shallow dish, mix the flour, garlic powder, and paprika. Dredge each chicken breast in the flour mixture, then dip in the beaten eggs, and finally coat with breadcrumbs. Place the breaded chicken breasts on a baking sheet lined with parchment paper. Bake in the preheated oven for 20-25 minutes, or until the chicken is cooked through and the breadcrumbs are golden brown and crispy. While the chicken is baking, toast the hamburger buns. Assemble the sandwiches by spreading mayonnaise on the bottom half of each bun, then adding a lettuce leaf, a tomato slice, a chicken breast, and any other desired toppings such as cheese, pickles, or avocado. Top with the other half of the bun and serve.][crusted chicken : 450 calories(100g),Ingredients : chicken,flour,egg, water,milk,breadcrumbs, Receipe: Preheat your oven to 400°F (200°C) and line a baking sheet with parchment paper or foil. In a shallow dish, mix breadcrumbs, Parmesan cheese, garlic powder, paprika, salt, and pepper. Dip each chicken breast into the beaten eggs, then coat with the breadcrumb mixture, pressing gently to adhere. Place the coated chicken breasts on the prepared baking sheet. Lightly spray or brush the tops of the chicken breasts with cooking spray or olive oil to help them brown. Bake for about 20-25 minutes, or until the chicken is cooked through and the crust is golden brown and crispy. Serve the crusted chicken hot with your favorite sides. Enjoy!][cucumber : 41 calories(1),Nutrients : Vitamin A, phosphorus, magnesium and vitamin B1.][cucumber : 45 calories(1),Nutrients : copper, potassium, manganese, vitamin C, phosphorus, magnesium and vitamin B1.][grapes : 67 calories(100g),Nutrients : vitamin C, beta carotene, lutein, and ellagic acid.][macaroni : 371 calories(100g),Ingredients : mayonnaise, sugar, vinegar, mustard, salt, pepper, and macaron, Receipe: Preheat oven to 350°F (175°C). Grease a 2-quart casserole dish. Cook macaroni according to package directions. Drain. In a medium saucepan, melt butter or margarine over medium heat. Stir in enough flour to make a roux. Add milk to roux slowly, stirring constantly. Stir in cheeses, and cook over low heat until cheese is melted and the sauce is a little thick. Put macaroni in large casserole dish, and pour sauce over macaroni. Stir well. Bake for 30 to 40 minutes, or until sauce is bubbly and hot.][oatmeal : 68 calories(100g),Ingredients : oats, flakes, Creamy peanut butter, banana, maple syrup, dark brown sugar, Receipe: In a saucepan, bring the water or milk to a boil. Stir in the oats and salt. Reduce heat to medium-low and simmer, stirring occasionally, for about 5-10 minutes or until the oats are cooked and the mixture has thickened to your desired consistency. Remove from heat and let it sit for a minute or two to cool slightly. Serve hot with your choice of toppings.][pancake : 227 calories(100g),Ingredients : eggs, flour,baking powder,buttermilk, blueberries, strawberries, bananas, apples, chocolate chips,sugar, Receipe: In a large bowl, whisk together the flour, sugar, baking powder, and salt. In a separate bowl, mix the milk, melted butter, and egg. Pour the wet ingredients into the dry ingredients and stir until just combined. It's okay if there are a few lumps. Heat a non-stick pan or griddle over medium heat and add a little butter or oil. Pour 1/4 cup of batter onto the pan for each pancake. Cook until bubbles form on the surface of the pancake, then flip and cook until golden brown on the other side. Serve warm with your favorite toppings, such as maple syrup, fresh fruit, or whipped cream.][potato fries : 312 calories(100g),Ingredients : Potatoes,Oil,wheat And Milk Derivatives, Dextrose,Salt, Receipe: Preheat your oven to 450°F (230°C) and line a baking sheet with parchment paper. Wash the potatoes thoroughly and peel them if desired. Cut the potatoes into thin strips, about 1/4 to 1/2 inch thick. Place the potato strips in a bowl and cover them with cold water. Let them soak for about 30 minutes to remove excess starch. Drain the potatoes and pat them dry with a clean kitchen towel or paper towels. Place the dried potato strips back into the bowl and add olive oil, salt, pepper, and any other seasonings you like. Toss until the potatoes are evenly coated. Arrange the potato strips in a single layer on the prepared baking sheet, making sure they are not overcrowded. Bake in the preheated oven for about 25-30 minutes, flipping the fries halfway through, until they are golden brown and crispy. Remove from the oven and let them cool slightly before serving.][potato salad : 143 calories(100g),Ingredients : egg yolks, mayonnaise, buttermilk, mustard,pickle juice,salt, pepper, Receipe: Place the cubed potatoes in a large pot and cover with water. Bring to a boil, then reduce heat and simmer for about 10-15 minutes, or until potatoes are fork-tender. While the potatoes are cooking, prepare the dressing. In a small bowl, mix together mayonnaise, sour cream, Dijon mustard, salt, and pepper. Drain the cooked potatoes and let them cool slightly. Place them in a large bowl. Add the chopped red onion, celery, dill, and parsley to the bowl with the potatoes. Pour the dressing over the potato mixture and gently toss to combine, making sure all the ingredients are coated with the dressing. Season with additional salt and pepper to taste. Cover and refrigerate for at least 1 hour before serving to allow the flavors to meld together. Just before serving, you can add optional ingredients like chopped hard-boiled eggs, crispy bacon bits, or chopped pickles for extra flavor and texture. Enjoy!][rice : 130 calories(100g),Nutrition : Total Fat 0.3 g, Cholesterol 0 mg, Sodium 1 mg, Potassium 35 mg, Carbohydrate 28 g, Receipe: Rinse the rice: Place the rice in a fine-mesh strainer and rinse under cold water until the water runs clear. This removes excess starch and helps prevent the rice from becoming too sticky. Combine rice and water: In a medium saucepan, combine the rinsed rice, water, and a pinch of salt (if desired). Bring to a boil: Bring the rice mixture to a boil over medium-high heat. Reduce heat and simmer: Once boiling, reduce the heat to low and cover the saucepan with a tight-fitting lid. Simmer for about 18-20 minutes, or until the water is absorbed and the rice is tender. Let it rest: Remove the saucepan from the heat and let the rice sit, covered, for 5-10 minutes. This allows the rice to steam and become fluffy. Fluff with a fork: After resting, fluff the rice with a fork to separate the grains. Serve: Serve the rice as a side dish or as a base for other dishes. Enjoy!][sunny sideup egg : 97 calories(1),Ingredients : egg,oil,salt,pepper, Receipe: Heat a non-stick skillet over medium heat and add a small amount of butter or oil. Crack an egg into a small bowl or cup to ensure the yolk remains intact. Carefully slide the egg into the skillet. Cook the egg for about 3-4 minutes, or until the whites are set but the yolk is still runny. Season with salt and pepper to taste. Carefully remove the egg from the skillet with a spatula and serve immediately.]
Object Detection
1.45k images·4
1 из 2 B9 Ahornberger Landbrauerei Marzen Ahornberger Landbrauerei MarzenAbk HellAdnams Ghost ShipAdnams Jack Brand Dry HoppedAdnams Jack Brand Ease Up IPAAdnams Jack Brand Innovation IPAAdnams Jack Brand MosaicAhornberger Landbrauerei MarzenAldaris 1865Aldaris GaisaisAldaris LuksusAldaris PilzenesAlska Nordic Berries ciderAmstelAmstel 0.0Amstel Natur Light Non-AlcoholicAmstel Natur Lime Non-AlcoholicAmstel Natur Raspberry Non-AlcoholicAmstel PremiumAmsterdam Navigator
Object Detection
8.52k images·1 model
1 rice leaf roller10 small brown plant hopper11 rice water weevil12 rice leafhopper13 grain spreader thrips14 rice shell pest15 grub16 mole cricket17 wireworm18 white margined moth19 black cutworm2 rice leaf caterpillar20 large cutworm21 yellow cutworm22 red spider23 corn borer24 army worm25 aphids26 Potosiabre vitarsis27 peach borer
Object Detection
400 images·2 models·4
15 oeufs El MAZERAA30 oeufs ChahiaACTIVIA DELICEADORO CHOCOCHOCO MOULIN D'ORAPLA 24CLBININO JUS 25CLBISCUITS TWINZ FRAISE TOMBLENDY DELICEBOISSON A BOIRE DUNUP DELICEBOISSON GAZEUSE 1BOISSON GAZEUSE 1.5L VIVA CIDREBOISSON GAZEUSE 1.5L VIVA POMMEBOISSON GAZEUSE 1L BOGA CIDREBOISSON GAZEUSE 1L BOGA LIMBOISSON GAZEUSE 1L COCA COLA ZEROBOISSON GAZEUSE 1L FANTABOISSON GAZEUSE VIVA PECHEBREAK SAIDABROWNIZ MOULIN D'ORBalai
Object Detection
7.56k images
1 rice leaf roller10 small brown plant hopper102 Cicadellidae11 rice water weevil12 rice leafhopper13 grain spreader thrips14 rice shell pest15 grub16 mole cricket17 wireworm18 white margined moth19 black cutworm2 rice leaf caterpillar20 large cutworm21 yellow cutworm22 red spider23 corn borer24 army worm25 aphids26 Potosiabre vitarsis
Object Detection
1.66k images·1
Aarambh tea bags backAarambh tea bags frontAarambh tea bags side1Aarambh tea bags side2Aarambh tea bags side3Aashirwaad Aata BACKAashirwaad Aata FRONTAmul unsalted backAmul unsalted frontAmul unsalted side1Amul unsalted side2Amul unsalted side3Amul unsalted side4Bru Gold Side 1Bru Gold Side 2Bru Gold Side 3Bru Gold TopCipla SanitizerCipla Sanitizer BACKCipla Sanitizer TOP
Object Detection
19k images
1 rice leaf roller10 small brown plant hopper100 Rhytidodera bowrinii white101 Sternochetus frigidus102 Cicadellidae11 rice water weevil12 rice leafhopper13 grain spreader thrips14 rice shell pest15 grub16 mole cricket17 wireworm18 white margined moth19 black cutworm2 rice leaf caterpillar20 large cutworm21 yellow cutworm22 red spider23 corn borer24 army worm
Object Detection
1.81k images·1
Aachi BackAachi FrontAarambg instructionAarambh backAarambh frontAarambh sideAarambh top with only textAashirvaad backAashirvaad frontAmul Garlic BackAmul Garlic FrontAmul Unsalted BackAmul Unsalted frontBRU topBikhaneri backBikhaneri frontBru barcode + textBru label + barcodeBru label + textCamlin 2 images
Object Detection
2.12k images·1 model
15 oeufs El MAZERAA30 oeufs ChahiaACTIVIA DELICEADORO CHOCOCHOCO MOULIN D'ORAPLA 24CLBININO JUS 25CLBISCUITS TWINZ FRAISE TOMBLENDY DELICEBOISSON A BOIRE DUNUP DELICEBOISSON GAZEUSE 1.5L VIVA CIDREBOISSON GAZEUSE 1.5L VIVA POMMEBOISSON GAZEUSE 1L BOGA CIDREBOISSON GAZEUSE 1L BOGA LIMBOISSON GAZEUSE 1L COCA COLA ZEROBOISSON GAZEUSE 1L FANTABOISSON GAZEUSE VIVA PECHEBREAK SAIDABROWNIZ MOULIN D'ORBalaiBiscotte complet mamamia
Object Detection
740 images·1 model
Instance Segmentation
9.31k images
Object Detection
522 images
breadrice- annotate, and create datasets- annotate, and create datasets - collaborate with your team on computer vision projects - collect & organize images- annotate, and create datasets - collaborate with your team on computer vision projects - collect & organize images - export, train, and deploy computer vision models- 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 visit https:--github-com-roboflow-notebooks- annotate, and create datasets - collaborate with your team on computer vision projects - collect & organize images - export, train, and deploy computer vision models - use active learning to improve your dataset over time- annotate, and create datasets - collaborate with your team on computer vision projects - collect & organize images - export, train, and deploy computer vision models - use active learning to improve your dataset over time ============================== Bread are annotated in YOLOv8 format- This dataset was exported via roboflow-com on June 14, 2023 at 2:39 PM GMT br-is - v3 2023-06-14 5:16pm visit https:--github-com-roboflow-notebooks- annotate, and create datasets - collaborate with your team on computer vision projects - collect & organize images - export, train, and deploy computer vision models ============================== For state of the art Computer Vision training notebooks you can use with this dataset, br-is - v3 2023-06-14 5:16pm visit https:--github-com-roboflow-notebooks- annotate, and create datasets - collaborate with your team on computer vision projects - collect & organize images - export, train, and deploy computer vision models 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 visit https:--github-com-roboflow-notebooks- annotate, and create datasets - collaborate with your team on computer vision projects - collect & organize images - export, train, and deploy computer vision models Roboflow is an end-to-end computer vision platform that helps you visit https:--github-com-roboflow-notebooks- annotate, and create datasets - collaborate with your team on computer vision projects - collect & organize images - export, train, and deploy computer vision models visit https:--github-com-roboflow-notebooks- annotate, and create datasets - collaborate with your team on computer vision projects - collect & organize images - understand and search unstructured image data- annotate, and create datasets - collaborate with your team on computer vision projects - collect & organize images - understand and search unstructured image data - use active learning to improve your dataset over time ============================== Bread are annotated in YOLOv8 format- visit https:--github-com-roboflow-notebooks- annotate, and create datasets - collaborate with your team on computer vision projects - collect & organize images - 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,- annotate, and create datasets - collaborate with your team on computer vision projects - collect & organize images - use active learning to improve your dataset over time ============================== Bread are annotated in YOLOv8 format- For state of the art Computer Vision training notebooks you can use with this dataset, br-is - v3 2023-06-14 5:16pm- annotate, and create datasets - collaborate with your team on computer vision projects - collect & organize images - use active learning to improve your dataset over time Bread are annotated in YOLOv8 format- This dataset was exported via roboflow-com on June 14, 2023 at 2:39 PM GMT visit https:--github-com-roboflow-notebooks- annotate, and create datasets - collaborate with your team on computer vision projects - collect & organize images - use active learning to improve your dataset over time For state of the art Computer Vision training notebooks you can use with this dataset,- annotate, and create datasets - collaborate with your team on computer vision projects - collect & organize images - use active learning to improve your dataset over time This dataset was exported via roboflow-com on June 14, 2023 at 2:39 PM GMT- annotate, and create datasets - collaborate with your team on computer vision projects - collect & organize images - use active learning to improve your dataset over time To find over 100k other datasets and pre-trained models, visit https:--universe-roboflow-com
Classification
1.18k images
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Object Detection
40 images·1 model
Botas Louis Vuitton x Timberland Monogram em WheatBotas Louis Vuitton x Timberland em pretoErmenegildo Zegna Triple StitchEspadrilles Versace em tecido jeans azul com monogramaNike Wildhorse Trail brancos e pretosSapatilha Puma California Exotic branca com sola de borracha gumSapato Brunello BrancoSapato Gucci Blue GG Denim EspadrilleSapato Mocassins Prada de camurca begeSapato Mocassins Prada de camurça begeSapato boss gary pretoTenis Alexander McQueen OversizedTenis BOSS cor verde olivaTenis Dolce e Gabbana Portofino em camurca cinza belugaTenis Ermenegildo Zegna Triple Stitch Monte cor couro e camurcaTenis Hermes Bouncing preto sola de borrachaTenis Hugo Boss pretosTenis LV Flash PretoTenis Louis VuittonTenis Nike Total Air Foamposite Max na cor Wheat Baroque Brown
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