CHAOS-evaluation
Segmentation evaluator
Evaluates segmentation performance in medical imaging using multiple metrics
Evaluation code of CHAOS challenge in MATLAB, Python and Julia languages.
57 stars
1 watching
7 forks
Language: MATLAB
last commit: about 5 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
martinkersner/py-img-seg-eval | A Python package providing metrics and tools for evaluating image segmentation models | 282 |
zhourax/vega | Develops a multimodal task and dataset to assess vision-language models' ability to handle interleaved image-text inputs. | 33 |
ruixiangcui/agieval | Evaluates foundation models on human-centric tasks with diverse exams and question types | 708 |
mfaruqui/eval-word-vectors | Tools for evaluating word vectors on various tasks | 120 |
mshukor/evalign-icl | Evaluating and improving large multimodal models through in-context learning | 20 |
krrishdholakia/betterprompt | An API for evaluating the quality of text prompts used in Large Language Models (LLMs) based on perplexity estimation | 38 |
aka-discover/ccmba_cvpr23 | Improving semantic segmentation robustness to motion blur using custom data augmentation techniques | 5 |
chenllliang/mmevalpro | A benchmarking framework for evaluating Large Multimodal Models by providing rigorous metrics and an efficient evaluation pipeline. | 22 |
benhamner/metrics | Provides implementations of various supervised machine learning evaluation metrics in multiple programming languages. | 1,627 |
maluuba/nlg-eval | A toolset for evaluating and comparing natural language generation models | 1,347 |
princeton-nlp/charxiv | An evaluation suite for assessing chart understanding in multimodal large language models. | 75 |
uzh-rpg/rpg_trajectory_evaluation | A toolbox for evaluating trajectory estimates in visual-inertial odometry, providing common methods and error metrics. | 1,066 |
freedomintelligence/mllm-bench | Evaluates and compares the performance of multimodal large language models on various tasks | 55 |
sony/pyieoe | 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 |
pkinney/segseg_ex | An Elixir module that calculates intersection and classification of two line segments | 6 |