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
Compilation of screenshots, videos and texts from WoW alphas and betas.
Naturally Ripened Mango and Artificially Ripened Mango Classification
Image dataset of Symbols like letters, numbers, etc. in various sizes
Repository for research paper "Training Dense Object Nets: A Novel Approach"
OpenImages is a large set of images for computer vision, artificial intelligence, personal projects and commercial use. The images are completely free to use and do not require permission to use, modify or distribute.
Multi-Label Image Classifier using Tensorflow on images dataset which has six classes i.e, buildings, forest, glacier, mountain, sea, street
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.
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.
Dataset of Images with Task Annotations
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