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TIG_ss304_dataset_full

This dataset is used for welding quality inspection and contains welding images with corresponding labels. Labels are divided into six categories to classify different welding quality issues. The dataset is primarily intended for model training and includes 45,058 training samples.

Updated 12/1/2024
huggingface

Description

TIG_ss304_dataset_full Dataset Overview

Dataset Information

Features

  • image: Image data
  • label: Label data
    • class_label:
      • names:
        • 0: burn through
        • 1: contamination
        • 2: good weld
        • 3: high travel speed
        • 4: lack of fusion
        • 5: lack of shielding gas

Data Split

  • train:
    • num_bytes: 8,406,037,407.322 bytes
    • num_examples: 45,058 samples

Dataset Size

  • download_size: 9,907,174,988 bytes
  • dataset_size: 8,406,037,407.322 bytes

Configuration

  • config_name: default
    • data_files:
      • split: train
      • path: data/train-*

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Topics

Welding Quality Inspection
Machine Learning

Source

Organization: huggingface

Created: 12/1/2024

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