ndb796/Small-ImageNet-Validation-Dataset-1000-Classes
This is a subset of the ImageNet validation dataset. This dataset has 5 images per class.
This dataset offers a smaller, more manageable collection of images for testing your image classification models. You provide your trained model, and this dataset provides 5 representative images for each of ImageNet's 1000 classes, allowing you to quickly evaluate how well your model identifies a wide variety of objects and scenes. It's designed for machine learning practitioners and researchers who need to efficiently check their model's performance on a diverse set of images.
No commits in the last 6 months.
Use this if you need a quick and efficient way to validate the performance of your image classification model against a diverse set of categories without downloading the entire large ImageNet validation dataset.
Not ideal if you require a comprehensive, high-volume evaluation of your model's robustness or want to fine-tune your model on a large validation set.
Stars
10
Forks
7
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 05, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ndb796/Small-ImageNet-Validation-Dataset-1000-Classes"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
qubvel/efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
KichangKim/DeepDanbooru
AI based multi-label girl image classification system, implemented by using TensorFlow.
matlab-deep-learning/Image-Classification-in-MATLAB-Using-TensorFlow
This example shows how to call a TensorFlow model from MATLAB using co-execution with Python.
AFAgarap/cnn-svm
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine...
harvitronix/five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow