Duplicate from LibreYOLO/printed-circuit-board

Co-authored-by: Xuban <Xuban@users.noreply.huggingface.co>

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
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+*.mp3 filter=lfs diff=lfs merge=lfs -text
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+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
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+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
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README.dataset.txt

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+# printed circuit board > release-640
+https://universe.roboflow.com/roboflow-100/printed-circuit-board
+
+Provided by a Roboflow user
+License: CC BY 4.0
+
+This dataset was originally created by [T, Pankaj, Aniket Dhanotia, Tejasvi Singh, Garvita Vijay, Goku, Kavya Shukla, Aniket Choudhary, Ananya Kharayat, Monika Patel, Pearl Rathour, Devansh Shrivastava, Aniket Dhanotia, Priyansh Urajput, Sejal, Roshni Ghai, Krishna Gambhir, Ayush Sahu, Ujjwal Sharma, Divyam Jha, Kanchan, Kartik Attri, Lav Naruka, Kas, and Preeti Sharma](https://universe.roboflow.com/new-workspace-rzrja/). To see the current project, which may have been updated since this version, please go here: https://universe.roboflow.com/new-workspace-rzrja/pcb-2.0.
+
+This dataset is part of [RF100](https://rf100.org), an [Intel-sponsored](https://www.intel.com/) initiative to create a new object detection benchmark for model generalizability.
+
+Access the RF100 Github repo: https://github.com/roboflow-ai/roboflow-100-benchmark

README.md

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+---
+license: cc-by-4.0
+task_categories:
+  - object-detection
+tags:
+  - roboflow
+  - roboflow-100
+  - rf100
+  - yolo
+  - libreyolo
+  - real-world
+  - computer-vision
+  - bounding-box
+pretty_name: "Printed Circuit Board"
+size_categories:
+  - 1K<n<10K
+dataset_info:
+  features:
+    - name: image
+      dtype: image
+    - name: label
+      dtype: string
+  splits:
+    - name: train
+      num_examples: 548
+    - name: validation
+      num_examples: 80
+    - name: test
+      num_examples: 44
+---
+
+# Printed Circuit Board
+
+This dataset is part of the **Roboflow 100** benchmark, a diverse collection of 100 object detection datasets spanning 7 imagery domains.
+
+## Dataset Description
+
+- **Source:** [Roboflow 100](https://github.com/roboflow/roboflow-100-benchmark)
+- **Category:** Real World
+- **License:** CC-BY-4.0
+- **Format:** YOLO (LibreYOLO compatible)
+- **Mirrored on:** 2026-01-20
+
+## Dataset Statistics
+
+| Split | Images |
+|-------|--------|
+| Train | 548 |
+| Validation | 80 |
+| Test | 44 |
+| **Total** | **672** |
+
+## Classes (34)
+
+  - -
+  - Battery
+  - Button
+  - Buzzer
+  - Capacitor Jumper
+  - Capacitor
+  - Clock
+  - Connector
+  - Diode
+  - Display
+  - EM
+  - Electrolytic Capacitor
+  - Ferrite Bead
+  - Fuse
+  - Heatsink
+  - IC
+  - Inductor
+  - Jumper
+  - Led
+  - PS
+  - Pads
+  - Pins
+  - Potentiometer
+  - Resistor Jumper
+  - Resistor Network
+  - Resistor
+  - SK
+  - Switch
+  - Test Point
+  - Transformer
+  - Transistor
+  - Unknown Unlabeled
+  - Zener Diode
+  - iC
+
+## Usage
+
+### With LibreYOLO
+
+```python
+from libreyolo import LIBREYOLO
+
+# Load a model
+model = LIBREYOLO(model_path="libreyoloXnano.pt")
+
+# Train on this dataset
+model.train(data='path/to/data.yaml', epochs=100)
+```
+
+### Download from HuggingFace
+
+```python
+from huggingface_hub import snapshot_download
+
+# Download the dataset
+snapshot_download(
+    repo_id="Libre-YOLO/printed-circuit-board",
+    repo_type="dataset",
+    local_dir="./printed-circuit-board"
+)
+```
+
+## Directory Structure
+
+```
+printed-circuit-board/
+├── data.yaml           # Dataset configuration
+├── README.md           # This file
+├── train/
+│   ├── images/         # Training images
+│   └── labels/         # Training labels (YOLO format)
+├── valid/
+│   ├── images/         # Validation images
+│   └── labels/         # Validation labels
+└── test/
+    ├── images/         # Test images (if available)
+    └── labels/         # Test labels
+```
+
+## Label Format
+
+Labels are in YOLO format (one `.txt` file per image):
+```
+<class_id> <x_center> <y_center> <width> <height>
+```
+All coordinates are normalized to [0, 1].
+
+## Citation
+
+If you use this dataset, please cite the Roboflow 100 benchmark:
+
+```bibtex
+@misc{rf100_2022,
+    Author = {Floriana Ciaglia and Francesco Saverio Zuppichini and Paul Guerrie and Mark McQuade and Jacob Solawetz},
+    Title = {Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark},
+    Year = {2022},
+    Eprint = {arXiv:2211.13523},
+}
+```
+
+## License
+
+This dataset is released under the **CC-BY-4.0** license. 
+Please check the original source for any additional terms.
+
+## Acknowledgments
+
+- Original dataset from [Roboflow Universe](https://universe.roboflow.com/roboflow-100/printed-circuit-board)
+- Part of the [Roboflow 100 Benchmark](https://www.rf100.org/)
+- Sponsored by Intel

README.roboflow.txt

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+
+printed circuit board - v1 release-640
+==============================
+
+This dataset was exported via roboflow.com on February 28, 2023 at 7:14 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 672 images.
+Printed-circuit-board are annotated in YOLOv8 format.
+
+The following pre-processing was applied to each image:
+* Auto-orientation of pixel data (with EXIF-orientation stripping)
+* Resize to 640x640 (Stretch)
+
+No image augmentation techniques were applied.
+
+

data.yaml

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+names:
+- '-'
+- Battery
+- Button
+- Buzzer
+- Capacitor Jumper
+- Capacitor
+- Clock
+- Connector
+- Diode
+- Display
+- EM
+- Electrolytic Capacitor
+- Ferrite Bead
+- Fuse
+- Heatsink
+- IC
+- Inductor
+- Jumper
+- Led
+- PS
+- Pads
+- Pins
+- Potentiometer
+- Resistor Jumper
+- Resistor Network
+- Resistor
+- SK
+- Switch
+- Test Point
+- Transformer
+- Transistor
+- Unknown Unlabeled
+- Zener Diode
+- iC
+nc: 34
+path: .
+roboflow:
+  license: CC BY 4.0
+  project: printed-circuit-board
+  url: https://universe.roboflow.com/roboflow-100/printed-circuit-board/dataset/1
+  version: 1
+  workspace: roboflow-100
+test: test/images
+train: train/images
+val: valid/images

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