Giter VIP home page Giter VIP logo

Comments (5)

majsylw avatar majsylw commented on May 28, 2024

Hi, we do not have plans to release any data as data which we used is not ours, but public one. Simple reason is that we do not have rights for these image distribiution. When it comes to google images we manly searched for other (with keywords medicines waste, electric waste, bateries waste, construction waste) and bio waste (garden waste, grass waste, fruits waste) as these are underrepresented in combined classify dataset. For numbers just check the table 2 with statistics: https://www.sciencedirect.com/science/article/pii/S0956053X21006474

from detect-waste.

ping-Huang avatar ping-Huang commented on May 28, 2024

Where do you download the name dumped/* in "binary_mixed_test.json"?
from google image download?
How can I get the image by names?

from detect-waste.

majsylw avatar majsylw commented on May 28, 2024

The annotations provided in annotation directory are for detection task, and the way that they were created can be followed (only checked not replicated as provided by us annotations state for result files; we haven't released the source files due to the same reason as for images distribiution) by looking at bash preprocessing script in main directory. The dumped/* images referrs to additional TACO images without annotations form time when the project was created (we annotated them using the resources of Epinote company; and those are enclosed in TACO annotations train/test). The google search was done only for classification task and here we haven't privided the split, just the structure of the directory and number of images in total. We used 20% of data for testing -- the images used in classification come from additional datasets (in egzample TrashNet with one class in the image), where the bounding boxes were not accessible, and therefore our task of trash detection was splited in two steps: litter detection and then classification.

from detect-waste.

ping-Huang avatar ping-Huang commented on May 28, 2024

Does that "additional TACO" means the TACO extend in TACO datasets?
Because the filename and image size is different with TACO extend.
How can I align the filenames and labels to additional TACO images ?

from detect-waste.

majsylw avatar majsylw commented on May 28, 2024

Yes, exacly "additional TACO" which I mentioned is TACO extend or whathever we called it previously.
As I mentioned in previous post it is the data from TACO which is unoficialy published in TACO registry. I've just checked the names here, and they agree -> https://raw.githubusercontent.com/pedropro/TACO/master/data/annotations_unofficial.json

from detect-waste.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.