images.cv

Labeled image datasets

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Data sources

Here are the data sources we have available for you to use in your projects

Road sign detection

Wildfire detection image data

The oxford iiit pet dataset

Multi class weather dataset for image classification

Indoor scene recognition

Face mask detection

People sleeping

Imagenet object localization

Od weapondetection

Fire images database

Animal image dataset

Emotion detection

A large scale fish dataset

Imagenet object localization

A food database of most popular indian foods

Natural diamonds

Psychology and art theory

A new distorted and noisy qrs dataset

Large receipt image dataset

Handwritten math symbols

Food11 image dataset

Roadway flooding image dataset

Animals detection images dataset

Describable textures dataset (dtd)

Mask wearing dataset

Material recognition in the wild

102 category flower dataset

Vechicle dataset

People studying

300 images of squares, circles, and triangles

73 sports image classification

Handwritten amharic character dataset

The three hair types

Indoor scene recognition

Intel image classification

300 bird species classification

Vehicle images dataset

Fruit and vegetable image recognition

Domain adaptation project

Cigarette smoker detection

The food 101 data set

Image classification data

Butterfly image classification

Pothole image data set

Packages dataset

Domain adaptation project

Pothole image data set

Food11 image dataset

Edinburgh kitchen utensil database

Hand sign images

People shopping

The chars74k dataset

Sheep breed classification

Multi class weather dataset for image classification

Images.cv solar panel image dataset

Kkhandekar image dataset

70 dog breeds image data set

Vehicle detection image set

Boat types recognition

Labeled surgical tools and images

Alpaca dataset for image classification

Mushrooms classification images

Bottles and cans images

The beeimage dataset: annotated honey bee images

People play with dog

Annotated potholes image dataset

Apparel images dataset

Mit indoor scenes

People playing cards

Handgun detection

Images of mechanical parts