Animal Image Dataset - Cats, Dogs, and Foxes

About Dataset
This dataset contains 300 images of three types of animals: cats, dogs, and foxes. Each category has 100 pictures. The images can help in learning about animals and building computer programs that recognize them. You can use this dataset for school projects, studies in artificial intelligence, or just to learn more about these animals

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Animal Image Dataset - Cats, Dogs, and Foxes

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Rice Image Dataset

Five different Rice Image Dataset. Arborio, Basmati, Ipsala, Jasmine, Karacadag

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Rice Image Dataset

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Lip Reading Image Dataset

MIRACL-VC1 is a lip-reading dataset including both depth and color images

Context:
MIRACL-VC1 is a lip-reading dataset including both depth and color images. It can be used for diverse research fields like visual speach recognition, face detection, and biometrics.

Content:
Fifteen speakers (five men and ten women) positioned in the frustum of a MS Kinect sensor and utter ten times a set of ten words and ten phrases (see the table below). Each instance of the dataset consists of a synchronized sequence of color and depth images (both of 640x480 pixels). The MIRACL-VC1 dataset contains a total number of 3000 instances.

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Normal vs camouflage clothes

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Normal vs camouflage clothes

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Aerial Semantic Segmentation Drone Dataset

aerial semantic Segmentation

Table 1: Semanic classes of the Drone Dataset

tree, gras, other vegetation, dirt, gravel, rocks, water, paved area, pool, person, dog, car, bicycle, roof, wall, fence, fence-pole, window, door, obstacle

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Fruits-360 dataset

A dataset with 94110 images of 141 fruits, vegetables and nuts

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Fruits-360 dataset

A dataset with 94110 images of 141 fruits, vegetables and nuts

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Amazon Books Reviews 🛒

Goodreads-books reviews and denoscriptions of each book

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Amazon Books Reviews 🛒

Goodreads-books reviews and denoscriptions of each book

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US Accidents (2016 - 2023)

A Countrywide Traffic Accident Dataset (2016 - 2023)

About Dataset
Denoscription
This is a countrywide car accident dataset that covers 49 states of the USA. The accident data were collected from February 2016 to March 2023, using multiple APIs that provide streaming traffic incident (or event) data. These APIs broadcast traffic data captured by various entities, including the US and state departments of transportation, law enforcement agencies, traffic cameras, and traffic sensors within the road networks. The dataset currently contains approximately 7.7 million accident records

US Accidents (2016 - 2023)

A Countrywide Traffic Accident Dataset (2016 - 2023)

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US Accidents (2016 - 2023)

A Countrywide Traffic Accident Dataset (2016 - 2023)

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Mashroom Image Classification

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