TruongNV-hut/AIcandy_Efficientnet_ImageClassification_rlbyvacq
Efficientnet for Image Classification
This project helps computer vision engineers and AI developers efficiently categorize images. You provide a dataset of images, and it outputs a trained model that can automatically assign labels or categories to new images. This is useful for anyone building systems that need to understand image content.
No commits in the last 6 months.
Use this if you are a machine learning engineer or data scientist looking to train highly accurate image classification models with efficient computational resource usage.
Not ideal if you are an end-user needing a ready-to-use application without any coding or model training.
Stars
7
Forks
1
Language
Python
License
—
Category
Last pushed
Sep 18, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/TruongNV-hut/AIcandy_Efficientnet_ImageClassification_rlbyvacq"
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