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Timelapse2 is an Image Analyser for Camera Traps, where it is used by scientists to visually analyze and encode data as tags from thousands to millions of images and videos.
Effortless data labeling with AI support from Segment Anything and other awesome models.
This repo is a packaged version of the Yolov9 model.
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
A benchmark dataset collection for bird sound classification
Restor's ML pipeline for tree crown mapping in aerial images
PyTorch Animal Detection Framework for monitoring camera trap images. Project sponsored by Lincoln Park Zoo in collaboration with DePaul University
A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding b…
a Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
BenUCL / surfperch
Forked from google-research/perchRepo for ReefPerch paper
Scan audio recordings for bird sounds and generate Audacity label files
Segmentation models with pretrained backbones. PyTorch.
This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised v…
Koogu is a Python package for developing and using Machine Learning (ML) solutions in Animal Bioacoustics.
A brief Python tutorial for geospatial classification.
Pretrained remote sensing models for the rest of us.
A computer vision model for classifying camera trap images from western Oregon - by @appelc
Field Boundaries for Agriculture (fiboa) - a specification that describes important properties of field boundaries