ILGnet
by BestiVictory
AI summary
Image aesthetic analyzer
A deep learning-based framework for image aesthetics assessment using a convolutional neural network structure
- stars
- 112
- forks
- 37
- watching
- 4
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Image segmentation framework
An open-source implementation of the SegNet deep learning architecture for image segmentation
Image processor
An image processing library with features such as color space conversions and transformations.
Image quality assessor
A deep learning-based system for assessing the quality of images without their original references.
Illustration analyzer
A deep learning library for extracting semantic features and tags from illustrations.
Image Assessor
Trains neural networks to assess image aesthetics using pre-trained models and custom datasets
GAN analyzer
Visualizes and understands internal representations of generative adversarial networks (GANs) to analyze their behavior and improve performance.
Image classifier
A PyTorch project for comparing image classification models and facilitating quick experiment setup
Image annotator
A web-based tool for labeling and annotating images to train object detectors.
Image analyzer
An open-source tool for training deep learning models for image analysis
Image Blender
A PyTorch implementation of blending images by optimizing a Poisson loss with style and content loss
Image classifier
Provides a basic framework for training deep learning models on image classification tasks using PyTorch
Image quality assessment library
Library providing a set of tools and algorithms for evaluating the quality of digital images
Image evaluator
Assesses and evaluates images using deep learning models
Image Segmentation Model
A convolutional neural network architecture for biomedical image segmentation
Face analyzer
Provides a framework and tools for face recognition and quality assessment using deep learning models.
Featured in 1 awesome list
Each link jumps to the spot where the list mentions ILGnet.
