five

openfoodfacts/nutrient-detection-layout

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Hugging Face2024-12-23 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/openfoodfacts/nutrient-detection-layout
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资源简介:
该数据集主要包含与食品营养成分相关的信息,如碳水化合物、脂肪、能量等。数据集的特征包括ner_tags、tokens、bboxes、image和meta等。ner_tags特征包含了一系列与食品营养成分相关的标签,tokens特征是一个字符串序列,bboxes特征是一个整数序列的序列,image特征是一个图像类型,meta特征是一个结构体,包含条形码、图像ID、图像URL、OCR URL、批次、标签工作室ID、检查状态、USDA表格、营养文本、无营养表格和评论等信息。数据集分为训练集和测试集,训练集包含1690个样本,测试集包含180个样本。

This dataset primarily contains information related to food nutritional components, such as carbohydrates, fats, energy, etc. The features of the dataset include ner_tags, tokens, bboxes, image, and meta. The ner_tags feature contains a series of labels related to food nutritional components, the tokens feature is a sequence of strings, the bboxes feature is a sequence of sequences of integers, the image feature is of image type, and the meta feature is a structure containing barcode, image ID, image URL, OCR URL, batch, label studio ID, checked status, USDA table, nutrition text, no nutrition table, and comments. The dataset is divided into a training set and a test set, with the training set containing 1690 samples and the test set containing 180 samples.
提供机构:
openfoodfacts
原始信息汇总

数据集概述

数据集特征

  • meta

    • barcode: 字符串
    • image_id: 字符串
    • image_url: 字符串
    • ocr_url: 字符串
    • batch: 字符串
    • label_studio_id: 整数
    • checked: 布尔值
    • usda_table: 布尔值
    • nutrition_text: 布尔值
    • no_nutrition_table: 布尔值
    • comment: 字符串
  • tokens: 字符串序列

  • bboxes

    • 序列: 整数序列
  • ner_tags

    • 类标签:
      • 0: O
      • 1: B-FIBER_100G
      • 2: I-FIBER_100G
      • 3: B-CHOLESTEROL_100G
      • 4: I-CHOLESTEROL_100G
      • 5: B-CHOLESTEROL_SERVING
      • 6: I-CHOLESTEROL_SERVING
      • 7: B-SATURATED_FAT_100G
      • 8: I-SATURATED_FAT_100G
      • 9: B-SUGARS_100G
      • 10: I-SUGARS_100G
      • 11: B-IRON_100G
      • 12: I-IRON_100G
      • 13: B-VITAMIN_D_100G
      • 14: I-VITAMIN_D_100G
      • 15: B-SALT_100G
      • 16: I-SALT_100G
      • 17: B-TRANS_FAT_100G
      • 18: I-TRANS_FAT_100G
      • 19: B-VITAMIN_D_SERVING
      • 20: I-VITAMIN_D_SERVING
      • 21: B-FAT_100G
      • 22: I-FAT_100G
      • 23: B-CARBOHYDRATES_100G
      • 24: I-CARBOHYDRATES_100G
      • 25: B-ADDED_SUGARS_SERVING
      • 26: I-ADDED_SUGARS_SERVING
      • 27: B-ENERGY_KCAL_SERVING
      • 28: I-ENERGY_KCAL_SERVING
      • 29: B-CALCIUM_SERVING
      • 30: I-CALCIUM_SERVING
      • 31: B-SERVING_SIZE
      • 32: I-SERVING_SIZE
      • 33: B-PROTEINS_SERVING
      • 34: I-PROTEINS_SERVING
      • 35: B-ENERGY_KCAL_100G
      • 36: I-ENERGY_KCAL_100G
      • 37: B-SODIUM_100G
      • 38: I-SODIUM_100G
      • 39: B-CARBOHYDRATES_SERVING
      • 40: I-CARBOHYDRATES_SERVING
      • 41: B-ENERGY_KJ_SERVING
      • 42: I-ENERGY_KJ_SERVING
      • 43: B-SODIUM_SERVING
      • 44: I-SODIUM_SERVING
      • 45: B-SALT_SERVING
      • 46: I-SALT_SERVING
      • 47: B-SUGARS_SERVING
      • 48: I-SUGARS_SERVING
      • 49: B-PROTEINS_100G
      • 50: I-PROTEINS_100G
      • 51: B-FIBER_SERVING
      • 52: I-FIBER_SERVING
      • 53: B-ENERGY_KJ_100G
      • 54: I-ENERGY_KJ_100G
      • 55: B-CALCIUM_100G
      • 56: I-CALCIUM_100G
      • 57: B-POTASSIUM_100G
      • 58: I-POTASSIUM_100G
      • 59: B-IRON_SERVING
      • 60: I-IRON_SERVING
      • 61: B-FAT_SERVING
      • 62: I-FAT_SERVING
      • 63: B-POTASSIUM_SERVING
      • 64: I-POTASSIUM_SERVING
      • 65: B-SATURATED_FAT_SERVING
      • 66: I-SATURATED_FAT_SERVING
      • 67: B-TRANS_FAT_SERVING
      • 68: I-TRANS_FAT_SERVING
      • 69: B-ADDED_SUGARS_100G
      • 70: I-ADDED_SUGARS_100G
  • image: 图像

数据集分割

  • train

    • num_bytes: 213450873.0
    • num_examples: 732
  • test

    • num_bytes: 21422030.0
    • num_examples: 80

数据集大小

  • download_size: 230515614
  • dataset_size: 234872903.0

配置

  • config_name: default
  • data_files
    • train: data/train-*
    • test: data/test-*
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