Resources

Abnormal Human Action (AbHA) Dataset

The Abnormal Human Action dataset (AbHA) Abnormal Human Action Dataset (AbHA) includes five commonly occurring abnormal actions in day-to-day lives of the elderly people: ‘chest pain’, ‘headache’, ‘fainting’ and ‘falling backward’ and ‘falling forward’. Each action is performed by eight different individuals and repeated two times. Hence, total generated samples are 80 (8×2×5). The dataset is captured by Microsoft’s Kinect depth sensor v1. The resolution of depth videos is 640X480. 20 skeleton joints are captured in 3D coordinate system ('action_1mainWorld.txt') and depth coordinate system (‘action_1mainM.txt’) for each frame. 

Reference:

Chhavi Dhiman, D. K. Vishwakarma, "A Robust Framework for Abnormal Human Action Recognition using R-Transform and Zernike Moments in Depth Videos", IEEE Sensors Journal, Vol. 19, No. 13, pp. 5195 - 5203, 2019.Impact Factor: 3.073

Multi Crop Vegetable Fruits (Multi CVF) dataset 

A novel “Multi Crop Vegetable Fruits” (Multi CVF) dataset is collected that contains a total of 7500 images from 15 distinct classes representing crops vegetables and fruits. Each category contains 500 images. It contains two subsets- manually collected fruit, vegetable and crop samples as subset 1 and  automatically collected fruit, vegetable and crop samples subset 2. Subset 2 provides more challenging samples collected randomly originally captured at different scales from google search.

15 classes covered in both subset 1 and subset 2 are as follows:

1. Apricot Fruit

2. Banana

3. Cauliflower

4. Corn

5. Golden Apple fruit

6. Guava Fruit

7. Kiwi Fruit

8. Lychee fruit

9. Peach Fruit

10. Pine apple fruit

11. Red Onion

12.  Rice crop

13.  Sugarcane 

14.  Walnut

15. Wheat

It is divided in train, val, test samples for both subsets.

Reference:

1. Sachin Kumar, Chhavi Dhiman, "Transfer Learning Based Automated Crop Analysis", IEEE International Conference on “Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Perspectives and Prospects (Com-IT-Con-2022), Fardabad, India, 26-27th, May, 2022.