README.md

metadata

dataset_info:
  features:
    - name: image
      dtype: image
    - name: class_id
      dtype:
        class_label:
          names:
            '0': verde_plastico
            '1': azul
            '2': negro_plastico
            '3': negro_carton
            '4': roja_plastico
            '5': carton
            '6': verde_carton
            '7': roja_eldulze
            '8': verde_plastico_oscuro
            '9': verde_cogollo
            '10': ilfres
    - name: bbox
      sequence: float64
  splits:
    - name: loads
      num_bytes: 285494082
      num_examples: 949
  download_size: 285535164
  dataset_size: 285494082
configs:
  - config_name: default
    data_files:
      - split: loads
        path: data/loads-*
license: mit
task_categories:
  - object-detection
size_categories:
  - n<1K
tags:
  - industry

The IndustrialLateralLoads dataset is divided into a single split: loads. This split contains the following:

• A folder with all the images: imgs
• A folder that includes for each image a .txt file that holds a single line with the bounding box annotation of the main load in the image: annotations

---

Remark: Each row in a .txt file follows this format:

<class_name> <instance_id> <x_min> <y_min> <weight> <height>,

where the field <instance_id> is not relevant in the currently published dataset.

---

Install Hugging Face datasets package:

pip install datasets

Download the dataset:

from datasets import load_dataset
dataset = load_dataset("jjldo21/IndustrialLateralLoads")