ImageMonkey is an attempt to create a free, public open source image dataset.
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Updated
Nov 11, 2017 - C++
ImageMonkey is an attempt to create a free, public open source image dataset.
‘SorghumWeedDataset_Classification’ is a crop-weed research dataset with 4312 data samples, which can be used for multiclass image classification.
A highly organized and potentially very large image dataset for ML
Download google images quickly using python
Geometrical Homogeneous Clustering for Image Data Reduction. An algorithm to reduce large image datasets maintaining similar accuracy.
A Tool for Extracting Images from a Video for Artificial Intelligence Training.
Build the Steam-OneFace dataset.
Given an input and output directory this code generates N random transformations for each image of the input directory.
Video support for the image-dataset-converter library.
Image statistics extension for the image-dataset-converter library.
Merged Geometrical Homogeneous Clustering for Image Data Reduction. An algorithm to reduce large image datasets maintaining similar accuracy.
An Image classifier which classifies the images in the dataset Forest vs Desert available on kaggle.
A practice to handle multi-modal datasets in a unified way.
Dataset of Images with Task Annotations
Meta-library that combines all image-dataset-converter libraries.
Add a description, image, and links to the image-dataset topic page so that developers can more easily learn about it.
To associate your repository with the image-dataset topic, visit your repo's landing page and select "manage topics."