
<div align="center">
  <img width="640" alt="keremberke/pcb-defect-segmentation" src="https://huggingface.co/datasets/keremberke/pcb-defect-segmentation/resolve/main/thumbnail.jpg">
</div>

### Dataset Labels

```
['dry_joint', 'incorrect_installation', 'pcb_damage', 'short_circuit']
```


### Number of Images

```json
{'valid': 25, 'train': 128, 'test': 36}
```


### 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("keremberke/pcb-defect-segmentation", name="full")
example = ds['train'][0]
```

### Roboflow Dataset Page
[https://universe.roboflow.com/diplom-qz7q6/defects-2q87r/dataset/8](https://universe.roboflow.com/diplom-qz7q6/defects-2q87r/dataset/8?ref=roboflow2huggingface)

### Citation

```
@misc{ defects-2q87r_dataset,
    title = { Defects Dataset },
    type = { Open Source Dataset },
    author = { Diplom },
    howpublished = { \\url{ https://universe.roboflow.com/diplom-qz7q6/defects-2q87r } },
    url = { https://universe.roboflow.com/diplom-qz7q6/defects-2q87r },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { jan },
    note = { visited on 2023-01-27 },
}
```

### License
CC BY 4.0

### Dataset Summary
This dataset was exported via roboflow.com on January 27, 2023 at 1:45 PM 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 and search unstructured image data
* annotate, and create datasets
* export, train, and deploy computer vision models
* use active learning to improve your dataset over time

For state of the art Computer Vision training notebooks you can use with this dataset,
visit https://github.com/roboflow/notebooks

To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com

The dataset includes 189 images.
Defect are annotated in COCO format.

The following pre-processing was applied to each image:

No image augmentation techniques were applied.




task_categories:image-segmentation roboflow roboflow2huggingface region:us
{"task_categories": ["image-segmentation"], "tags": ["roboflow", "roboflow2huggingface"]}
TAGS
#task_categories-image-segmentation #roboflow #roboflow2huggingface #region-us 


<div align="center">
  <img width="640" alt="keremberke/pcb-defect-segmentation" src="URL
</div>

### Dataset Labels




### Number of Images




### How to Use

- Install datasets:



- Load the dataset:



### Roboflow Dataset Page
URL

### License
CC BY 4.0

### Dataset Summary
This dataset was exported via URL on January 27, 2023 at 1:45 PM 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 and search unstructured image data
* annotate, and create datasets
* export, train, and deploy computer vision models
* use active learning to improve your dataset over time

For state of the art Computer Vision training notebooks you can use with this dataset,
visit URL

To find over 100k other datasets and pre-trained models, visit URL

The dataset includes 189 images.
Defect are annotated in COCO format.

The following pre-processing was applied to each image:

No image augmentation techniques were applied.




### Dataset Labels ### Number of Images ### How to Use

- Install datasets:



- Load the dataset: ### Roboflow Dataset Page
URL ### License
CC BY 4.0 ### Dataset Summary
This dataset was exported via URL on January 27, 2023 at 1:45 PM 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 and search unstructured image data
* annotate, and create datasets
* export, train, and deploy computer vision models
* use active learning to improve your dataset over time

For state of the art Computer Vision training notebooks you can use with this dataset,
visit URL

To find over 100k other datasets and pre-trained models, visit URL

The dataset includes 189 images.
Defect are annotated in COCO format.

The following pre-processing was applied to each image:

No image augmentation techniques were applied.
TAGS
#task_categories-image-segmentation #roboflow #roboflow2huggingface #region-us 
 ### Dataset Labels ### Number of Images ### How to Use

- Install datasets:



- Load the dataset: ### Roboflow Dataset Page
URL ### License
CC BY 4.0 ### Dataset Summary
This dataset was exported via URL on January 27, 2023 at 1:45 PM 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 and search unstructured image data
* annotate, and create datasets
* export, train, and deploy computer vision models
* use active learning to improve your dataset over time

For state of the art Computer Vision training notebooks you can use with this dataset,
visit URL

To find over 100k other datasets and pre-trained models, visit URL

The dataset includes 189 images.
Defect are annotated in COCO format.

The following pre-processing was applied to each image:

No image augmentation techniques were applied.
passage: TAGS
#task_categories-image-segmentation #roboflow #roboflow2huggingface #region-us 
### Dataset Labels### Number of Images### How to Use

- Install datasets:



- Load the dataset:### Roboflow Dataset Page
URL### License
CC BY 4.0### Dataset Summary
This dataset was exported via URL on January 27, 2023 at 1:45 PM 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 and search unstructured image data
* annotate, and create datasets
* export, train, and deploy computer vision models
* use active learning to improve your dataset over time

For state of the art Computer Vision training notebooks you can use with this dataset,
visit URL

To find over 100k other datasets and pre-trained models, visit URL

The dataset includes 189 images.
Defect are annotated in COCO format.

The following pre-processing was applied to each image:

No image augmentation techniques were applied.