PySODEvalToolkit
Evaluation toolkit
A comprehensive Python toolbox for evaluating salient object detection and camouflaged object detection tasks
PySODEvalToolkit: A Python-based Evaluation Toolbox for Salient Object Detection and Camouflaged Object Detection
168 stars
3 watching
20 forks
Language: Python
last commit: 5 months ago camouflaged-object-detectionco-saliencyco-salient-object-detectione-measureevaluationevaluation-frameworkevaluation-metricsevaluatorf-measurefm-curvelatexmaemetricsmetrics-visualizationpr-curvepython3s-measuresaliencysaliency-detectionsalient-object-detection
Related projects:
Repository | Description | Stars |
---|---|---|
| An evaluation tool for co-saliency detection tasks | 97 |
| A library providing an implementation of various metrics for object segmentation and saliency detection in computer vision. | 150 |
| Develops an object segmentation algorithm to detect camouflaged objects in images with varying backgrounds and contexts. | 20 |
| A Python package providing metrics and tools for evaluating image segmentation models | 282 |
| A PyTorch-based toolbox for building and training semantic segmentation models | 408 |
| A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
| A software package containing data and tools for training and testing 3D object detection models in autonomous vehicles. | 254 |
| A toolkit for building and training semantic segmentation models using PyTorch. | 1,408 |
| Develops an interpretable evaluation procedure for off-policy evaluation (OPE) methods to quantify their sensitivity to hyper-parameter choices and/or evaluation policy choices. | 31 |
| This project provides a Python implementation of various deep learning architectures for pixel-wise segmentation tasks. | 384 |
| A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
| A PyTorch-based toolkit for creating customized multimedia datasets and handling heterogeneous data for training AI models. | 346 |
| Provides code and datasets for a saliency object detection method that leverages captioning to improve accuracy | 50 |
| Provides PyTorch implementations of deep learning models for semantic segmentation | 772 |
| A Python-based collection of tools for gathering forensic information from Office documents | 26 |