Image Classification
Showing 34 of 70 projects
TensorFlow implementation of weakly-supervised object localization using only image-level labels, without bounding box annotations.
A centralized Python framework for agricultural machine learning, providing access to public datasets, benchmarks, pretrained models, and synthetic data generation.
A deep learning-based solution for automatically recognizing and solving 12306 railway website captchas.
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.
A curated dataset of 1,044,394 Windows executable samples with frequency-domain image representations for malware detection research.
Go binding for the MXNet C Predict API to perform inference with pre-trained deep learning models.
A PyTorch-based framework providing implementations of state-of-the-art deep learning models for computer vision tasks.
An easy-to-use PyTorch library for faster computer vision model development and training.
Code for the CIFAR-10 Kaggle competition using cuda-convnet for image classification.
Sample code demonstrating Core ML integration with ResNet50 and custom models converted via coremltools.
A pre-trained image classifier that recognizes 365 different scene and location types using a ResNet18 model fine-tuned on Places365.
A convolutional neural network solution for the GalaxyZoo galaxy classification challenge, achieving 9th place with a score of 0.08246.
A ROS2 wrapper for the Movidius Neural Compute Stick (NCS) providing object classification and detection services for images and video streams.
A pre-trained deep learning model for image classification that identifies 1000 object classes using the Inception-ResNet-v2 architecture.
A tutorial on building and training a convolutional neural network for MNIST image classification using Flax Linen and Optax.
A deep learning model for image classification that identifies 1000 object classes using the ResNet-50 architecture.
MicroPython binding for ESP-DL models enabling face detection, recognition, human detection, cat detection, and image classification on ESP32 devices.
Code and slides for an ng-conf 2020 talk on training a TensorFlow.js model to recognize handwritten digits.
A distributed image classification service that runs neural network training and prediction tasks on the Golem Network using Yapapi.
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