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docs.binaexperts.com
  • Introduction
  • Get Started
  • Organization
    • Create an Organization
    • Add Team Members
    • Role-Based Access Control
  • Datasets
    • Creating a Project
    • Uploading Data
      • Uploading Video
    • Manage Batches
    • Create a Dataset Version
    • Preprocessing Images
    • Creating Augmented Images
    • Add Tags to Images
    • Manage Categories
    • Export Versions
    • Health Check
    • Merge Projects and Datasets
    • Delete an Image
    • Delete a Project
  • annotate
    • Annotation Tools
    • Use BinaExperts Annotate
  • Train
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      • Tensorflow
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      • TFLite
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      • YOLO
      • CenterNet
      • EfficientNet
      • Faster R-CNN
      • Single Shot Multibox Detector (SSD)
      • DETR
      • DETECTRON2 FASTER RCNN
      • RETINANET
    • dataset healthcheck
      • Distribution of annotations based on their size relative
      • Distribution of annotations based on their size relative
    • TensorBoard
    • Hyperparameters
    • Advanced Hyperparameter
      • YAML
      • Image Size
      • Validation input image size
      • Patience
      • Rectangular training
      • Autoanchor
      • Weighted image
      • multi scale
      • learning rate
      • Momentum
  • Deployment
    • Deployment
      • Legacy
      • Deployment model (Triton)
    • Introducing the BinaExperts SDK
  • ابزارهای نشانه گذاری
  • استفاده از نشانه گذاری بینااکسپرتز
  • 🎓آموزش مدل
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    • DETR
    • DETECTRON2 FASTER RCNN
  • تست سلامت دیتاست
    • توزیع اندازه نسبی
    • رسم نمودار توزیع
  • تنسوربرد
  • ابرمقادیر
  • ابرمقادیر پیشرفته
    • YAML (یامل)
    • اندازه تصویر
    • اعتبار سنجی تصاویر ورودی
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    • کنترل دسترسی مبتنی بر نقش
  • مجموعه داده ها
    • ایجاد یک پروژه
    • بارگذاری داده‌ها
      • بارگذاری ویدیو
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    • پیش‌پردازش تصاویر
    • ایجاد تصاویر افزایش یافته
    • افزودن تگ به تصاویر
    • مدیریت کلاس‌ها
  • برچسب گذاری
    • Page 3
  • آموزش
    • Page 4
  • استقرار
    • Page 5
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  • Batches in BinaExperts
  • Managing Batches
  • Deleting a Batch

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  1. Datasets

Manage Batches

An Introduction to Batches in BinaExperts.

PreviousUploading VideoNextCreate a Dataset Version

Last updated 8 months ago

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Batches in BinaExperts

Once you upload your data to , the uploaded data becomes a batch. Batches are groups of images that you can easily track throughout the dataset process in BinaExperts. You can monitor this process on the Annotate page.

Managing Batches

· Once images are uploaded, they appear in the "Unassigned" column.

o You can assign the batch to someone for annotation, moving it to the "Annotating" column.

· If you assign only part of the batch, the remaining images will be placed in a new batch in the "Unassigned" column.

· After the annotation is completed, the batch is either sent to the "Review" column (for users with review permissions) or to the "Dataset" column.

· In the "Review" column, batches are either approved or rejected. Approved batches move to the "Dataset" column, while rejected batches return to the "Annotating" column for further work.

Deleting a Batch

Note: Deletions are permanent and cannot be undone. Please ensure you are certain before proceeding.

You can delete batches by marked the image next to the batch name and clicking "Delete Batch".

Batch deletion behaves differently depending on where the batch is in the annotation process:

Unassigned Column: If the batch is in the "Unassigned" column, both the batch and the images within it will be permanently deleted from the project.

Annotating, QC, Dataset Columns: If the batch is in one of these columns, it will be moved back to the "Unassigned" column, and all annotations associated with the images will be removed.

· To fully remove a batch from these columns, you must click "Delete Batch" twice: first to move it back to the "Unassigned" column, and then again to delete it from the "Unassigned" column.

· This process is required if you wish to relabel a batch.

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