Amazon-Forest-Computer-Vision
Forest classification tool
A repository providing tools and techniques for training computer vision models on satellite images of the Amazon forest.
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
368 stars
9 watching
75 forks
Language: Jupyter Notebook
last commit: about 5 years ago computer-visiondata-augmentationdeep-learningkagglekaggle-competitionkerasneural-network-exampleneural-networkspytorchtransfer-learning
Related projects:
| Repository | Description | Stars |
|---|---|---|
 ytarazona/forestoolboxrs | Tools and algorithms for processing satellite images to detect deforestation and monitor forest health. | 54 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,217 |
 bmsookim/wide-resnet.pytorch | PyTorch implementation of wide residual networks for image classification tasks on CIFAR-10 and CIFAR-100 datasets | 461 |
 ghislainv/forestatrisk-tropics | This project models and forecasts tropical deforestation using spatial analysis and machine learning techniques | 29 |
 mparkan/digital-forestry-toolbox | A collection of tools and tutorials for processing and analyzing remote sensing data in Matlab/Octave | 46 |
 felixgwu/img_classification_pk_pytorch | A PyTorch project for comparing image classification models and facilitating quick experiment setup | 365 |
 awf-gaug/treecrowndelineation | Automated tree crown delineation from remote sensing images using neural networks. | 88 |
 gyrrei/reforestree | A dataset and toolbox for estimating tropical forest biomass from drone and field data. | 72 |
 chguiterman/dfoliatr | An R package for analyzing tree-ring data to identify insect defoliators and disturbances in forests | 7 |
 microsoft/cameratraps | A deep learning framework for wildlife conservation that integrates camera-trap data analysis with machine learning models. | 772 |
 molina-valero/fortls | A package for automating the processing of point cloud data from terrestrial laser scanning or mobile laser scanning in forestry applications. | 21 |
 bearpaw/pytorch-classification | An open-source project providing a unified interface for training and evaluating classification models using PyTorch. | 1,692 |
 tengshaofeng/residualattentionnetwork-pytorch | Implementing a deep learning framework for image classification using Residual Attention Network architecture | 680 |
 juanb09111/finnforest | A collection of data and software tools for training machine learning models to analyze and understand forests | 46 |
 4uiiurz1/pytorch-res2net | Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |