Image Classification
Showing 18 of 54 projects
A deep learning-based solution for automatically recognizing and solving 12306 railway website captchas.
A centralized Python framework for agricultural machine learning, providing access to public datasets, benchmarks, pretrained models, and synthetic data generation.
FLAME dataset and deep learning models for fire detection in aerial imagery using UAVs, supporting classification and segmentation tasks.
A Python library that simplifies using, finetuning, and deploying state-of-the-art machine learning models for various AI tasks.
A TensorFlow CNN implementation for Chinese character recognition, achieving 92.5% top-1 accuracy with batch normalization.
A vision transformer architecture that aggregates nested local transformers on image blocks for better accuracy, data efficiency, and convergence.
A simple, flexible, and extensible object-oriented template for PyTorch projects.
.NET Standard bindings for Apache MXNet, providing C# developers with NumPy-compatible APIs for machine learning model development, training, and deployment.
Flax implementations and pretrained checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX.
A deep belief net and deep learning implementation written in F# with GPU acceleration via Alea.cuBase.
A deep learning model for classifying image aesthetic quality using Inception modules and fine-tuned connected layers.
A Python package providing popular computer vision model architectures built with Equinox for JAX.
A collection of Google Colab tutorials teaching biologists how to apply deep learning with Keras to real-world biological and agricultural problems.
A fungal image classification project using ResNet to identify mushroom species from citizen science and expert sources.
A TensorFlow-based convolutional neural network for recognizing four-digit CAPTCHA images.
Code for the Kaggle Dogs vs. Cats image classification competition using deep learning.
A Blazor library that provides easy access to ML5.js machine learning models via JavaScript Interop.
ROS2 nodes for performing computer vision inference using TensorFlow models, enabling object detection and image classification in robotics.
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