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Data Annotation and Augmentation Issue for Online and Offline ID_Number OCR Model #9

Closed YassinNouh21 closed 10 months ago

YassinNouh21 commented 10 months ago

team working on this are : @ahmedshaban-10 @ahmedeltaron0 @sherifmohamed2

We've encountered a critical issue in the data pipeline for our ID_Number OCR (Optical Character Recognition) model, which affects both the online and offline environments.

ahmedeltaron0 commented 10 months ago

This tasks done with @sherifmohamed2 To review the annotation process and augmentation data follow the following instructions:

open roboflow web site . sign in with (user name: nourhan.mostafa2024@gmail.com / password:Nm@1234567). from project select( cropped number ) . select annotated data to review how money images was annotated and remaining images.

sherifmohamed2 commented 10 months ago

This task was done with @ahmedeltaron0 -progress for annotation data: making annotations for (200 of 600) images

YassinNouh21 commented 10 months ago

This task was done with @ahmedeltaron0 -progress for annotation data: making annotations for (200 of 600) images

updated the issue #9 description

ahmedeltaron0 commented 10 months ago

This task was done with @sherifmohamed2 -progress for annotation data ---> (stage 1) making annotations for (100 of 600) images _ total (300 of 600 ) image

YassinNouh21 commented 10 months ago

This task was done with @sherifmohamed2 -progress for annotation data ---> (stage 1) making annotations for (100 of 600) images _ total (300 of 600 ) image

request on the main issue at the top to appear as a task like that

ahmedeltaron0 commented 10 months ago

Task Update: @ahmedeltaron0 - Annotation Progress

ahmedeltaron0 commented 10 months ago

team working on this are : @ahmedshaban-10 @ahmedeltaron0 @sherifmohamed2

We've encountered a critical issue in the data pipeline for our ID_Number OCR (Optical Character Recognition) model, which affects both the online and offline environments.

  • [ ] Review current data annotations for accuracy and consistency
  • [ ] Audit the existing annotated dataset to identify and correct inaccuracies
  • [ ] Research and implement new data augmentation techniques suitable for ID_Number OCR
  • [ ] Retrain the ID_Number OCR model with the updated dataset
  • [x] Annotated (200 of 600) images by @sherifmohamed2
  • [x] Annotated (100 of 600) images by @ahmedeltaron0
mo7meddgom3a commented 10 months ago

** This task was done with @Haneenmuhamed @OmarEldsouky @357hamo -progress for annotation data ---> (stage 1) making annotations for (70 of 600) images _ total (370of 600 ) images

Haneenmuhamed commented 10 months ago

** This task was done with @mo7meddgom3a @OmarEldsouky @357hamo -progress for annotation data ---> (stage 1) making annotations for (70 of 600) images _ total (440of 600 ) images

357hamo commented 10 months ago

** This task was done with @mo7meddgom3a @OmarEldsouky @Haneenmuhamed -progress for annotation data ---> (stage 1) making annotations for (45 of 600) images _ total (485of 600 ) images

OmarEldsouky commented 10 months ago

** This task was done with @mo7meddgom3a @357hamo @Haneenmuhamed -progress for annotation data ---> (stage 1) making annotations for (45 of 600) images _ total (550of 600 ) images

mo7meddgom3a commented 10 months ago

** This task was done with @Haneenmuhamed @OmarEldsouky @357hamo -progress for annotation data ---> (stage 2) upload 400 images making annotation for (150of 400) _ total (700 of 1000) images

OmarEldsouky commented 10 months ago

** This task was done with @mo7meddgom3a @357hamo @Haneenmuhamed -progress for annotation data ---> (stage 1) making annotations for (100 of 400) images _ total (800of 1000 ) images

357hamo commented 10 months ago

** This task was done with @mo7meddgom3a @OmarEldsouky @Haneenmuhamed -progress for annotation data ---> (stage 1) making annotations for (100 of 400) images _ total (900of 1000 ) images

Haneenmuhamed commented 10 months ago

** This task was done with @mo7meddgom3a @OmarEldsouky @357hamo -progress for annotation data ---> (stage 1) making annotations for (100 of 400) images _ total (1000of 1000 ) images