Oxford 102 Flower (102 Category Flower Dataset)

Introduced by Nilsback et al. in Automated Flower Classification over a Large Number of Classes

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.

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Benchmarks

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Task	Dataset Variant	Best Model
Image Classification	Flowers-102	CCT-14/7x2
Fine-Grained Image Classification	Oxford 102 Flowers	VIT-L/16
Prompt Engineering	Oxford 102 Flower	PromptKD
Point-interactive Image Colorization	Oxford 102 Flowers	iColoriT
Text-to-Image Generation	Oxford 102 Flowers	VQ-Diffusion-F
Continual Learning	Flowers (Fine-grained 6 Tasks)	CondConvContinual
Neural Architecture Search	Oxford 102 Flowers	NAT-M3
Zero-Shot Learning	Oxford 102 Flower	SPOT
Image Generation	Oxford 102 Flowers 256 x 256	Projected GAN
Generalized Zero-Shot Learning	Oxford 102 Flower	GZSL_TF-VAEGAN
Few-Shot Image Classification	Oxford 102 Flower	RS-FSL
Unsupervised Image Segmentation	Flowers	IEM
Few-Shot Learning	Flowers-102	Variational Prompt Tuning
Few-Shot Image Classification	Flowers-102 - 0-Shot	Word CNN-RNN