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

- A folder with all the images: `imgs`
- A folder containing a `.txt` file for each image, where each row corresponds to a load with its bounding box annotation: `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>` field is not relevant in the currently published dataset, as it is intended for segmentation.

---

### Install Hugging Face datasets package:
```sh
pip install datasets
```

### Download the dataset:
```python
from datasets import load_dataset
dataset = load_dataset("jjldo21/IndustrialLateralLoads")
```

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@@ -23,13 +23,18 @@ dataset_info:
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  sequence: float64
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  splits:
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  - name: loads
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- num_bytes: 285497878.0
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  num_examples: 949
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  download_size: 285538061
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- dataset_size: 285497878.0
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  configs:
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  - config_name: default
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  data_files:
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  - split: loads
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  path: data/loads-*
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- ---
 
 
 
 
 
 
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  sequence: float64
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  splits:
25
  - name: loads
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+ num_bytes: 285497878
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  num_examples: 949
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  download_size: 285538061
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+ dataset_size: 285497878
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  configs:
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  - config_name: default
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  data_files:
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  - split: loads
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  path: data/loads-*
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+ license: mit
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+ task_categories:
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+ - object-detection
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+ size_categories:
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+ - n<1K
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+ ---