Rice Image Dataset

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

#Kaggle #DataScience #AI #ML

https://t.me/datasets1 📱

Rice Image Dataset

https://t.me/datasets1 ✅

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.

#Kaggle #DataScience #AI #ML

https://t.me/datasets1 💫

Normal vs camouflage clothes

https://t.me/datasets1 🎄

Normal vs camouflage clothes

https://t.me/datasets1 🎄

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

https://t.me/datasets1 🎁

Fruits-360 dataset

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

https://t.me/datasets1 ✈️

Fruits-360 dataset

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

https://t.me/datasets1 ✈️

Amazon Books Reviews 🛒

Goodreads-books reviews and descriptions of each book

https://t.me/datasets1 ✅

Amazon Books Reviews 🛒

Goodreads-books reviews and descriptions of each book

https://t.me/datasets1 ⭐️

US Accidents (2016 - 2023)

A Countrywide Traffic Accident Dataset (2016 - 2023)

About Dataset
Description
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)

https://t.me/datasets1 ✅

US Accidents (2016 - 2023)

A Countrywide Traffic Accident Dataset (2016 - 2023)

https://t.me/datasets1 🇺🇸

Mashroom Image Classification

https://t.me/datasets1 ⭐️

Mashroom Image Classification

https://t.me/datasets1 ⭐️

Ocular Disease Recognition

Right and left eye fundus photographs of 5000 patients

Ocular Disease Intelligent Recognition (ODIR) is a structured ophthalmic database of 5,000 patients with age, color fundus photographs from left and right eyes and doctors' diagnostic keywords from doctors.

This dataset is meant to represent ‘‘real-life’’ set of patient information collected by Shanggong Medical Technology Co., Ltd. from different hospitals/medical centers in China. In these institutions, fundus images are captured by various cameras in the market, such as Canon, Zeiss and Kowa, resulting into varied image resolutions.
Annotations were labeled by trained human readers with quality control management. They classify patient into eight labels including:

Normal (N),
Diabetes (D),
Glaucoma (G),
Cataract (C),
Age related Macular Degeneration (A),
Hypertension (H),
Pathological Myopia (M),
Other diseases/abnormalities (O)

https://t.me/datasets1 👩‍💻

Ocular Disease Recognition

https://t.me/datasets1 ❤️