---
task_categories:
- object-detection
tags:
- roboflow
- roboflow2huggingface
dataset_info:
  config_name: full
  features:
  - name: image_id
    dtype: int64
  - name: image
    dtype: image
  - name: width
    dtype: int32
  - name: height
    dtype: int32
  - name: objects
    sequence:
    - name: id
      dtype: int64
    - name: area
      dtype: int64
    - name: bbox
      sequence: float32
      length: 4
    - name: category
      dtype:
        class_label:
          names:
            '0': resistor
  splits:
  - name: train
    num_bytes: 4166234.0
    num_examples: 126
  - name: validation
    num_bytes: 91766.0
    num_examples: 6
  - name: test
    num_bytes: 111846.0
    num_examples: 3
  download_size: 4342491
  dataset_size: 4369846.0
configs:
- config_name: full
  data_files:
  - split: train
    path: full/train-*
  - split: validation
    path: full/validation-*
  - split: test
    path: full/test-*
---

<div align="center">
  <img width="640" alt="MithatGuner/resistordataset" src="https://huggingface.co/datasets/MithatGuner/resistordataset/resolve/main/thumbnail.jpg">
</div>

### Dataset Labels

```
['resistor']
```


### Number of Images

```json
{'valid': 6, 'test': 3, 'train': 126}
```


### How to Use

- Install [datasets](https://pypi.org/project/datasets/):

```bash
pip install datasets
```

- Load the dataset:

```python
from datasets import load_dataset

ds = load_dataset("MithatGuner/resistordataset", name="full")
example = ds['train'][0]
```

### Roboflow Dataset Page
[https://universe.roboflow.com/harish-madhavan/resistordataset/dataset/1](https://universe.roboflow.com/harish-madhavan/resistordataset/dataset/1?ref=roboflow2huggingface)

### Citation

```
@misc{
                            resistordataset_dataset,
                            title = { ResistorDataset Dataset },
                            type = { Open Source Dataset },
                            author = { Harish Madhavan },
                            howpublished = { \\url{ https://universe.roboflow.com/harish-madhavan/resistordataset } },
                            url = { https://universe.roboflow.com/harish-madhavan/resistordataset },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { sep },
                            note = { visited on 2024-07-16 },
                            }
```

### License
CC BY 4.0

### Dataset Summary
This dataset was exported via roboflow.com on December 7, 2022 at 8:42 AM GMT

Roboflow is an end-to-end computer vision platform that helps you
* collaborate with your team on computer vision projects
* collect & organize images
* understand unstructured image data
* annotate, and create datasets
* export, train, and deploy computer vision models
* use active learning to improve your dataset over time

It includes 135 images.
Resistor are annotated in COCO format.

The following pre-processing was applied to each image:
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Resize to 416x416 (Stretch)
* Auto-contrast via adaptive equalization

The following augmentation was applied to create 3 versions of each source image:
* 50% probability of horizontal flip
* 50% probability of vertical flip

The following transformations were applied to the bounding boxes of each image:
* 50% probability of horizontal flip
* 50% probability of vertical flip
* Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down
* Randomly crop between 0 and 20 percent of the bounding box
* Random brigthness adjustment of between -25 and +25 percent
* Salt and pepper noise was applied to 5 percent of pixels