|
---
|
|
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
|
|
|
|
|
|
|
|
|
