mean Average Precision - This code evaluates the performance of your neural net for object recognition.
-
Updated
Aug 15, 2024 - Python
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
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
Face Video Segmentation - Face segmentation ground truth from videos
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 accurate TLS point cloud as a reference map (this map should be accurate at least regarding the position of permanent elements such as walls and columns).
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 creating spline based roads.
Easy description to run and evaluate A-LOAM with KITTI-data
Ergonomic line-by-line transcription of scanned text.
Annotated Beethoven Corpus (ABC): A dataset of harmonic analyses with standardized labels
Ground Truth Resources for the HTR of patrimonial documents
A framework for benchmarking clustering algorithms
Resolves severe noise in the widely spread CASIA2.0 dataset ground-truth for Image Manipulation Detection
Annotate quickly images.
Convenient image annotation tool API
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.
Add a description, image, and links to the ground-truth topic page so that developers can more easily learn about it.
To associate your repository with the ground-truth topic, visit your repo's landing page and select "manage topics."