Animal silhouette extension to MNIST - benchmarking dataset
Project description
Animal-Shape is a dataset consisting of 10,000 images of 28x28 grayscale images, mimicking the format of MNIST dataset. There are 10 classes of animals (including Bear, Bird, Cat, Cow, Dog, Elephant, Giraffe, Horse, Sheep, Zebra) each consisting of 1000 pictures. This is intended to serve educational purposes and expand further on the MNIST - fashion MNIST benchmarking system for machine learning algorithms.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file animal_mnist-0.4.tar.gz.
File metadata
- Download URL: animal_mnist-0.4.tar.gz
- Upload date:
- Size: 2.6 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
95ab7246452eb4dd389a19fd26467017507e11e5488bbdbcd2c4893ef0c4aa7d
|
|
| MD5 |
32d3b37384a8faf804fb8337728fa583
|
|
| BLAKE2b-256 |
cdf65b2641a767066abbf16cd7bfbc2d809bff2642e5e659c5d70768f0567026
|
File details
Details for the file animal_mnist-0.4-py3-none-any.whl.
File metadata
- Download URL: animal_mnist-0.4-py3-none-any.whl
- Upload date:
- Size: 2.6 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
aeebf3d9de4552d6fd2d5701424e1a5b9020f8e5115d68df9db252f2f53ce2ce
|
|
| MD5 |
4325f339b00bcc3b91c05736aa176881
|
|
| BLAKE2b-256 |
bbecbd60c048875be7eb80f2ec83608551e34f0542e6fce8c4330b316a83992f
|
