Evolving-AI-Lab / deep_learning_for_camera_trap_imagesLinks
This repo contains code+pre-trained models for extracting information from camera-trap images. The pre-trained models have been trained on the Snapshot Serengeti dataset.
☆120Updated 2 years ago
Alternatives and similar repositories for deep_learning_for_camera_trap_images
Users that are interested in deep_learning_for_camera_trap_images are comparing it to the libraries listed below
Sorting:
- Automatically identify animals in camera trap images by training a deep neural network.☆52Updated 6 years ago
- Everything I know about machine learning and camera traps.☆177Updated last week
- Tools for detecting wildlife in aerial images using active learning☆239Updated 3 months ago
- A curated list of deep learning papers in ecology.☆99Updated last year
- Machine Learning for Wildlife Image Classification☆71Updated 5 years ago
- Classify camera trap images using machine learning with R Shiny Apps☆37Updated 4 years ago
- AI for Earth Species Classification API☆105Updated 2 years ago
- PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.☆969Updated 2 weeks ago
- A desktop application that makes using MegaDetector's model easier☆45Updated 3 years ago
- A deep learning project in cooperation with the NOAA Marine Mammal Lab to detect & classify arctic seals in aerial imagery to understand …☆34Updated 3 years ago
- Collection of recent work on using computer vision and aerial imagery for wildlife conservation.☆18Updated 6 years ago
- Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery…☆281Updated 6 years ago
- AI-Powered Camera-Trap Image Processing☆44Updated this week
- MEWC: Mega Efficient Wildlife Classifier☆40Updated last year
- Nationwide houseshold-level solar panel identification with deep learning☆260Updated 2 years ago
- Educational Resources on Neural Networks for Ecology and Remote Sensing☆67Updated 4 years ago
- Buscombe & Ritchie (2018) Landscape Classification with Deep Neural Networks. Geosciences 2018, 8(7), 244☆22Updated 7 years ago
- Bounding Box Editor and Exporter☆21Updated last year
- Mask R-CNN in GRASS GIS☆41Updated 5 years ago
- Use Mask R-CNN/Keras/TensorFlow and OSM to find features in satellite images for fun.☆505Updated 3 years ago
- CameraTrapDetector: Detect, classify, and count animals in camera trap images☆15Updated 11 months ago
- Machine Learning algorithms for spatial and spatiotemporal data☆218Updated 4 years ago
- Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)☆194Updated 4 years ago
- Simplify camera trap image analysis with AI species recognition models based around the MegaDetector model☆159Updated last week
- Open source notebooks to create state-of-the-art detection, segmentation, & classification of buildings on drone/aerial imagery with deep…☆196Updated 6 years ago
- Remote Sensing Data Analysis in R 🛰☆293Updated 3 months ago
- ☆50Updated last year
- Code for constructing the urban environments dataset and for land use classification via convolutional neural networks☆120Updated 7 years ago
- Land Use Classification using Convolutional Neural Network in Keras☆52Updated 8 years ago
- Self-paced tutorials that review key data literacy concepts and data analysis skills. Published materials can be found at:☆78Updated last month