#计算机科学#mean Average Precision - This code evaluates the performance of your neural net for object recognition.
翻译 - 平均平均精度-此代码评估神经网络用于对象识别的性能。
#计算机科学#Annotate quickly images.
Python-based optical flow toolkit for existing popular dataset
Create 3D labelled bounding boxes in RViz
Easy description to run and evaluate Lego-LOAM with KITTI-data
This project allows the alignment and correction of LiDAR-based SLAM session data with a reference map or another session, also the retrieval of 6-DoF poses with accuracy of up to 3 cm given an accu...
Face Video Segmentation - Face segmentation ground truth from videos
SimViz contains tools and resources for authoring and executing autonomous vehicle simulations on roadways and city scapes by using map import, scene creation, formatting of ground truth data, and cre...
Ergonomic line-by-line transcription of scanned text.
Easy description to run and evaluate A-LOAM with KITTI-data
Annotated Beethoven Corpus (ABC): A dataset of harmonic analyses with standardized labels
Ground Truth Resources for the HTR of patrimonial documents
#数据仓库#A framework for benchmarking clustering algorithms
Resolves severe noise in the widely spread CASIA2.0 dataset ground-truth for Image Manipulation Detection
#计算机科学#Annotate quickly images.
#计算机科学#SOFT-CSRNET : Counting people in drone video footage
A novel approach to evaluate community detection algorithms on ground truth
Transcription corpora for training HTR models for medieval manuscripts from the 12th to the 15th century.