526 Open source projects that are alternatives of or similar to bird_species_classification

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

No description or website provided.

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

RMDL: Random Multimodel Deep Learning for Classification

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Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

AutoGluon: AutoML for Text, Image, and Tabular Data

PyTorch implementation of RICAP (Random Image Cropping And Patching)

A treasure chest for image classification powered by PaddlePaddle

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

A curated list of papers, code and resources pertaining to few-shot image generation.

kgpml.github.io/deep-vessel/

Easily train an image classifier and then use it to label/tag other images

ImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)

Catalyst.Classification

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

Deep Learning Bootcamp

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Repository to identify Lego bricks automatically only using images

Only in native python & numpy with Keras interface

Korean Easy Data Augmentation

ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

Machine learning toolkits with Python

✌Real-time translation of the Auslan Alphabet

Easily train or fine-tune SOTA computer vision models with one open source training library

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

Building a Neural Network that classifies faces using OpenCV and Tensorflow

3D augmentation and transforms of 2D/3D sparse data, such as 3D triangle meshes or point clouds in Euclidean space. Extension of the Fast.ai library to train Sub-manifold Sparse Convolution Networks

🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.

Etiketai is an online tool designed to label images, useful for training AI models

A time series signal analysis and classification framework

Image Recognition and Information Extraction from Image Documents using Keras and Watson NLU

Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.

Open solution to the Google AI Object Detection Challenge 🍁

Deep and Machine Learning for Microscopy

Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.

No description or website provided.

Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142

A simple image dataset EDA tool (CLI / Code)

Computer Graphics vs Real Photographic Images : A Deep-learning approach

Classifying the Blur and Clear Images

Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests

TensorFlow Lite Helper for Android to help getting started with TesnorFlow.

subsemble R package for ensemble learning on subsets of data

Real time instance segmentation with Mask R-CNN, live from webcam feed.

Performing Leaf Image classification for Recognition of Plant Diseases using various types of CNN Architecture, For detection of Diseased Leaf and thus helping the increase in crop yield.

Multiclass image classification using Convolutional Neural Network

A collection of SOTA Image Classification Models in PyTorch

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

The implementation for the AutoSweep (TVCG 2018)

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.

A Simple Deep Neural Network to classify images made with Keras

Our deep learning for computer vision related project for nostalgic poke weebs (Sistemi digitali, Unibo).

Listing my favorite research papers 📝 from different fields as I read them.

One-click image sorting/labelling script

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.