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Detect waste with Transformer

Detect waste with Transformer

In comparison to well-known two- or one-stage detectors, DETR does not need to set the number of anchor boxes or even threshold for NMS algorithm.

One to rule them all - combination of few datasets of waste

One to rule them all - combination of few datasets of waste

Neural networks can be useful in case of detecting trash in image, but they require collecting a large and good quality data.

Comparing waste detection approaches on extended TACO dataset

Comparing waste detection approaches on extended TACO dataset

Differentiating waste instances under a single class label is challenging task

Basic metrics to compare waste detection models

Basic metrics to compare waste detection models

Evaluation metrics that data scientists should know

Coming back to the basics - AI Theory

Coming back to the basics - AI Theory

To understand some of the deeper AI concepts, you need to understand its basics

How scientists use artificial intelligence to identify garbage?

How scientists use artificial intelligence to identify garbage?

Brief review of state-of-the-art-papers

Data augmentation - next steps

Data augmentation - next steps

Extension of data augmentation techniques

Data augmentation - the beginning

Data augmentation - the beginning

The introduction to data augmentation

Hack4Environment - Event summary

Hack4Environment - Event summary

The summary of our environmental event “Hack4Environment”

Data analisys

Data analisys

Learn data we use.