Multimodal Brain Tumor Segmentation Challenge 2019
Imaging Data Description
All BraTS multimodal scans are available as NIfTI files (.nii.gz) and describe a) native (T1) and b) post-contrast T1-weighted (T1Gd), c) T2-weighted (T2), and d) T2 Fluid Attenuated Inversion Recovery (T2-FLAIR) volumes, and were acquired with different clinical protocols and ...
The following links include various resources related to your search:
Action Databases: this a list of various datasets of images, videos performing basic actions along with their labels
Kinetics collection of large-scale, high-quality datasets of URL links of up to 650,000 video clips that cover 400/600/700 human action classes.
This is for the leaf disease detection: https://www.kaggle.com/emmarex/plantdisease
I haven't checked this myself but https://www.kaggle.com/c/leaf-classification/notebooks this kaggle competition might help you!
https://archive.ics.uci.edu/ml/datasets/One-hundred+plant+species+leaves+data+set - This is an UCI dataset, the files will also lead you to the ...
A Dataset for Sky Segmentation
The Sky dataset contains a collection of 60 images with ground truth for sky segmentation. It was based on the Caltech Airplanes Side dataset by R. Fergus 15/02/03. Those images from the dataset which contained sky regions were selected and ground truths were created for them. The original dataset image names were ...
Stanford 40 Actions
The Stanford 40 Action Dataset contains images of humans performing 40 actions. In each image, we provide a bounding box of the person who is performing the action indicated by the filename of the image. There are 9532 images in total with 180-300 images per action class.
Please download the dataset using the links below: