11k hands dataset

In this work, we propose a large dataset of human hand images (dorsal and palmar sides) with detailed ground-truth information for gender recognition and biometric identification. Using this dataset, a convolutional neural network (CNN) can be trained effectively for the gender recognition task.

Danbooru2019 is a large-scale anime image database with 3.69m+ images annotated with 108m+ tags; it can be useful for machine learning purposes such as image recognition and generation.
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11k hands dataset

In addition, the hand is considered one of the primary biometric traits used to identify a person. In this work, we propose a large dataset of human hand images (dorsal and palmar sides) with detailed ground-truth information for gender recognition and biometric identification.

We collected a dataset of 1785 histopathology image patches. Each patch has a binary label indicating whether the object in the center is a lymphocyte (or a plasma cell) or non-lymphocyte. If you use this dataset, please cite our papers: @inproceedings{Hou_PR18, To facilitate access to our 11K Hands dataset, the dataset, the trained CNN models, and our Matlab source code are available at ( https://goo.gl/rQJndd ). Human hand not only possesses distinctive feature for gender information, it is also considered one of the primary biometric traits used to identify a pers
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I captured 80 images with hand and 80 images that does not contain hand. 160 images are not enough to properly train a neural network but should be enough for proof of concept. Besides 160 images, I captured 20 images more to test our network once it is trained. Once dataset was ready I started writing code for neural network.

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