Data Annotation Course
What will I learn?
Bula bokgoni jwa data ka Kose ya rona ya Go Tlhoma Dikwalelo tsa Data, e e diretsweng bomankge ba thekenoloji ba ba tlhagafaletseng go itse botlalo botswerere jwa go manega dikwalelo ka nepagamo. Ithute ka didiriswa tsa botlhokwa jaaka VGG Image Annotator le LabelImg, sekaseka dintlha tsa boitshwaro, mme o itsosolose bokgoni jwa gago mo go netefatseng boleng jwa go manega dikwalelo. Bona tlhaloganyo mo metheong ya go lemoga ditshwantsho mme o ithute mekgwa e e siameng ya tsamaiso ya data. Kose e e khutshwane, e e maêmô a a kwa godimo e go thusa go tokafatsa nepagamo ya data le go rotloetsa tlhabologo mo lebaleng la gago.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute didiriswa tsa go manega dikwalelo: Dirisa VGG Image Annotator le LabelImg ka botswerere.
Netefatsa mekgwa e e siameng ya boitshwaro: Rarabolola sephiri, tekatekano le tlhaolele mo go manegeng dikwalelo.
Tokafatsa go lemoga ditshwantsho: Tlhaloganya di-dataset mme o lwantshe dikgwetlho tsa go lemoga.
Tshegetsa boleng jwa go manega dikwalelo: Fitlhelela tumalano le nepagamo mo go manegeng dikwalelo.
Tokafatsha tsamaiso ya data: Rulaganya le go boloka dikwalelo ka bokgabane.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You’ll be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.