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Datasets/Oxford 102 Flower

Oxford 102 Flower

102 Category Flower Dataset

ImagesUnknownIntroduced 2008-12-01

Oxford 102 Flower is an image classification dataset consisting of 102 flower categories. The flowers chosen to be flower commonly occurring in the United Kingdom. Each class consists of between 40 and 258 images.

The images have large scale, pose and light variations. In addition, there are categories that have large variations within the category and several very similar categories.

Benchmarks

Few-Shot Image Classification/ACCURACY Image Classification/ACCURACY Prompt Engineering/Harmonic mean Zero-Shot Learning/average top-1 classification accuracy Zero-Shot Learning/Harmonic mean

Related Benchmarks

Oxford 102 Flowers/1 Image, 2*2 Stitchi/FID Oxford 102 Flowers/1 Image, 2*2 Stitchi/Inception score Oxford 102 Flowers/10-shot image generation/FID Oxford 102 Flowers/10-shot image generation/Inception score Oxford 102 Flowers/AutoML/Accuracy (%)Oxford 102 Flowers/AutoML/FLOPS Oxford 102 Flowers/AutoML/PARAMS Oxford 102 Flowers/Colorization/PSNR@1 Oxford 102 Flowers/Colorization/PSNR@10 Oxford 102 Flowers/Colorization/PSNR@100 Oxford 102 Flowers/Fine-Grained Image Classification/Accuracy Oxford 102 Flowers/Fine-Grained Image Classification/FLOPS Oxford 102 Flowers/Fine-Grained Image Classification/PARAMS Oxford 102 Flowers/Fine-Grained Image Classification/Top 1 Accuracy Oxford 102 Flowers/Fine-Grained Image Classification/Top-1 Error Rate Oxford 102 Flowers/Image Classification/Accuracy Oxford 102 Flowers/Image Classification/FLOPS Oxford 102 Flowers/Image Classification/PARAMS Oxford 102 Flowers/Image Classification/Top 1 Accuracy Oxford 102 Flowers/Image Classification/Top-1 Error Rate Oxford 102 Flowers/Image Generation/FID Oxford 102 Flowers/Image Generation/Inception score Oxford 102 Flowers/Neural Architecture Search/Accuracy (%)Oxford 102 Flowers/Neural Architecture Search/FLOPS Oxford 102 Flowers/Neural Architecture Search/PARAMS Oxford 102 Flowers/Text-to-Image Generation/FID Oxford 102 Flowers/Text-to-Image Generation/Inception score Oxford 102 Flowers 128x128/Image Generation/FID Oxford 102 Flowers 128x128/Image Generation/IS Oxford 102 Flowers 256 x 256/Image Generation/FID

Statistics

Papers: 1,307
Benchmarks: 5

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Tasks

Continual Learning Few-Shot Image Classification Few-Shot Learning Few-Shot Learning - 4 shots Fine-Grained Image Classification Generalized Zero-Shot Learning Image Classification Image Clustering Image Generation Neural Architecture Search Point-interactive Image Colorization Prompt Engineering Text-to-Image Generation Transductive Zero-Shot Classification Unsupervised Image Segmentation Zero-Shot Learning