Multi-Type-TD-TSR VS Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning

Compare Multi-Type-TD-TSR vs Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning and see what are their differences.

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning

My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset. (by alen-smajic)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
Multi-Type-TD-TSR Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
4 8
236 57
- -
0.0 3.6
over 1 year ago about 3 years ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Multi-Type-TD-TSR

Posts with mentions or reviews of Multi-Type-TD-TSR. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-23.
  • [D] Getting super-level table extraction
    3 projects | /r/MachineLearning | 23 Aug 2022
    Recently, I've been researching extracting tables from image documents. First I tried with pdfs, however, the data extraction libraries like camelot are inconsistent. I found a deep learning model called CascadeTabNet. The detection results are okay but cell recognition is poor. I even found Multi-Type-TD-TSR for table extraction. It uses image processing techniques to find the grids. It performs well on structured and bordered tables. However, it messes up if the cell is not properly aligned. Even if extraction is successful, aggregation of multi-line cells, i.e post-processing, is not very obvious.

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning

Posts with mentions or reviews of Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Multi-Type-TD-TSR and Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning you can also consider the following projects:

get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

NYU-DLSP20 - NYU Deep Learning Spring 2020

simple-faster-rcnn-pytorch - A simplified implemention of Faster R-CNN that replicate performance from origin paper

lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)

dl-colab-notebooks - Try out deep learning models online on Google Colab

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

fashionpedia-api - Python API for Fashionpedia Dataset

donut - Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data