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1. www.tensorflow.org › datasets › catalogstanford_dogs | TensorFlow Datasets

   www.tensorflow.org › datasets › catalog

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   Jan 13, 2023 · The Stanford Dogs dataset contains images of 120 breeds of dogs from around the world. This dataset has been built using images and annotation from ImageNet for the task of fine-grained image categorization. There are 20,580 images, out of which 12,000 are used for training and 8580 for testing.

2. vision.stanford.edu › aditya86 › ImageNetDogsStanford Dogs dataset for Fine-Grained Visual Categorization

   vision.stanford.edu › aditya86 › ImageNetDogs

   Stanford Dogs Dataset Aditya Khosla Nityananda Jayadevaprakash Bangpeng Yao Li Fei-Fei. Stanford University. The Stanford Dogs dataset contains images of 120 breeds of dogs from around the world. This dataset has been built using images and annotation from ImageNet for the task of fine-grained image categorization.

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4. paperswithcode.com › dataset › stanford-dogsStanford Dogs Dataset - Papers With Code

   paperswithcode.com › dataset › stanford-dogs

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   The Stanford Dogs dataset contains 20,580 images of 120 classes of dogs from around the world, which are divided into 12,000 images for training and 8,580 images for testing.

5. vision.stanford.edu › aditya86 › ImageNetDogsStanford Dogs Dataset

   vision.stanford.edu › aditya86 › ImageNetDogs

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   Stanford University. The Stanford Dogs dataset contains images of 120 breeds of dogs from around the world. This dataset has been built using images and annotation from ImageNet for the task of fine-grained image categorization. Contents of this dataset: Number of categories: 120; Number of images: 20,580; Annotations: Class labels, Bounding ...

6. paperswithcode.com › sota › fine-grained-imageStanford Dogs Benchmark (Fine-Grained Image Classification ...

   paperswithcode.com › sota › fine-grained-image

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   The current state-of-the-art on Stanford Dogs is MP. See a full comparison of 21 papers with code. ... and datasets. Read previous issues. Subscribe. Join the community

7. github.com › master › docsdatasets/docs/catalog/stanford_dogs.md at master - GitHub

   github.com › master › docs

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   The Stanford Dogs dataset contains images of 120 breeds of dogs from around the world. This dataset has been built using images and annotation from ImageNet for the task of fine-grained image categorization. There are 20,580 images, out of which 12,000 are used for training and 8580 for testing.

8. People also ask

   What is the Stanford dogs dataset?

   • Read the documentation to know more. Save and categorize content based on your preferences. The Stanford Dogs dataset contains images of 120 breeds of dogs from around the world. This dataset has been built using images and annotation from ImageNet for the task of fine-grained image categorization.

   stanford_dogs | TensorFlow Datasets

   www.tensorflow.org/datasets/catalog/stanford_dogs

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   What is a 120 class Stanford dogs dataset?

   • We introduce a 120 class Stanford Dogs dataset, a chal-lenging and large-scale dataset aimed at fine-grained image categorization. Stanford Dogs includes over 22,000 anno-tated images of dogs belonging to 120 species. Each im-age is annotated with a bounding box and object class la-bel. Fig. 1 shows examples of images from Stanford Dogs.

   Novel Dataset for Fine-Grained Image Categorization: Stanford Dogs

   people.csail.mit.edu/khosla/papers/fgvc2011.pdf

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   How many annotated images are there in Stanford dogs?

   • Stanford Dogs includes over 22,000 anno-tated images of dogs belonging to 120 species. Each im-age is annotated with a bounding box and object class la-bel. Fig. 1 shows examples of images from Stanford Dogs. This dataset is extremely challenging due to a variety of reasons.

   Novel Dataset for Fine-Grained Image Categorization: Stanford Dogs

   people.csail.mit.edu/khosla/papers/fgvc2011.pdf

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   How many breeds of dogs are in the Stanford dogs dataset?

   • With 120 breeds of dogs and a limited number training images per class, you might find the problem more, err, ruff than you anticipated. We extend our gratitude to the creators of the Stanford Dogs Dataset for making this competition possible: Aditya Khosla, Nityananda Jayadevaprakash, Bangpeng Yao, and Fei-Fei Li.

   GitHub - xiyinzhi/cnn_dog_breed_identification: Kaggle competition

   github.com/xiyinzhi/cnn_dog_breed_identification

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   What is the 'Dogs vs Cats' dataset?

   • The 'Dogs vs Cats' dataset was first introduced in a Kaggle competition in 2013. It is available on Kaggle for access by creating an account and logging in. No pressure, we're not here for the competition, but to learn.

   Image Recognition: Dogs vs Cats! (92%) - The Data Frog

   thedatafrog.com/articles/dogs-vs-cats

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   Which dataset is used for fine-grained image categorization?

   • This dataset has been built using images and annotation from ImageNet for the task of fine-grained image categorization. Contents of this dataset: Aditya Khosla, Nityananda Jayadevaprakash, Bangpeng Yao and Li Fei-Fei. Novel dataset for Fine-Grained Image Categorization.

   Stanford Dogs dataset for Fine-Grained Visual Categorization

   vision.stanford.edu/aditya86/ImageNetDogs/

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9. people.csail.mit.edu › khosla › papersNovel Dataset for Fine-Grained Image Categorization: Stanford ...

   people.csail.mit.edu › khosla › papers

   Computer Science Department, Stanford University, Stanford, CA faditya86, bangpeng, feifeilig@cs.stanford.edu nityananda@gmail.com 1. Introduction We introduce a 120 class Stanford Dogs dataset, a chal-lenging and large-scale dataset aimed at fine-grained image categorization. Stanford Dogs includes over 22,000 anno-