IN5400 Mandatory exercise 2
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Updated
Mar 11, 2020 - Jupyter Notebook
IN5400 Mandatory exercise 2
Unsupervised anomaly detection on COCO-style masked objects, comparison of results using various state-of-the-art deep autoencoders
Image depth and body keypoints detection demo app, written in Python.
echo1-coco-builder provides a faster, safer way to build coco formatted data.
BiDet implement
Tool used to generate anchor-boxes required for training YOLO networks
Create a YOLO-format subset of the COCO dataset
Resources for Emuteca: Tandy Color Computer
Example of image-based pattern recognition using YOLOv3, COCO and OpenCV.
In this repo, I use Django to create a web application and I use TensorFlow as the backend to do object identification. I deploy my project on AWS Lighsail.
This repo includes the implemetation of some of the state of the art object detectors on subsets of some of the most popular public datasets for object detection task.
Exploration of COCO object detection dataset schema
🛠️ Convert file annotation to COCO format
Natural Language Processing
[DONE] Instructional project to demo a (very) simple Run Loop, here in a "game".
A traffic light detector module that utilizes Faster R-CNN ResNet101 (COCO)
A Web based Image Classifier using Cifar10 that has 10 classes-based dataset and creating a neural network then deploying it directly to web interface using Taipy which is an open-source Python library for building production-ready web applications front-end & back-end.
Add a description, image, and links to the coco topic page so that developers can more easily learn about it.
To associate your repository with the coco topic, visit your repo's landing page and select "manage topics."