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license: apache-2.0 |
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# UMA-IA/PYXIS-Engine-v1 |
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## Authors |
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- **Youri LALAIN**, Engineering student at French Engineering School ECE |
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- **Lilian RAGE**, Engineering student at French Engineering School ECE |
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## Dataset Summary |
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The **UMA-IA/PYXIS-Engine-v1** is a specialized dataset designed for training vision-language models in the field of **aerospace and aeronautical engineering**. It consists of high-quality **images of aircraft engine components paired with detailed captions** identifying and describing the visible parts. This dataset enables models to learn to recognize and analyze various engine components, making it ideal for **fine-tuning vision-language models** for technical visual recognition and analysis tasks in the aerospace industry. |
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## Dataset Details |
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- **Splits**: |
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- **Train**: Complete dataset for model training |
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- **Columns**: |
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- `image`: The image file of an aircraft engine component or cross-section |
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- `caption`: Detailed description of visible components in the image |
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- `image_id`: Unique identifier for each image |
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- `cui`: Technical classification identifier |
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## Dataset Structure |
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The dataset's primary focus is on providing high-quality annotated images of aircraft engine components with detailed technical descriptions. Each entry contains: |
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1. An image showing aerospace engine components from various angles and cross-sections |
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2. Detailed captions identifying components such as: |
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- Soufflante (Fan) |
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- Aubes (Blades) |
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- Rotor |
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- Stator |
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- Compresseur (Compressor) |
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- And other critical engine components |
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## Example Entries |
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| image | caption | image_id | |
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|-------|---------|----------| |
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| [Engine Image] | Composants visibles: - Soufflante - Aubes de soufflante - Rotor de soufflante... | 001269777_896x598_c_mirror | |
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| [Engine Image] | Composants visibles: - Soufflante - Aubes - Rotor - Stator - Compresseur... | 001269777_896x598_c_original | |
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| [Engine Image] | Composants visibles: - Soufflante - Aubes - Rotor - Stator - Compresseur... | 001269777_896x598_c_segment1 | |
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## Applications |
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This dataset is particularly valuable for: |
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- Training vision models to recognize aerospace engine components |
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- Developing diagnostic tools for engine maintenance |
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- Creating educational resources for aerospace engineering |
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- Enhancing technical documentation with automatic component recognition |
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- Supporting quality control processes in engine manufacturing |
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## How to Use |
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You can load this dataset using the Hugging Face `datasets` library: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("UMA-IA/PYXIS-Engine-v1") |
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# Access the first sample |
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print(dataset["train"][0]["caption"]) |
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# Display an image (if in a notebook environment) |
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from PIL import Image |
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import matplotlib.pyplot as plt |
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img = dataset["train"][0]["image"] |
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plt.figure(figsize=(10, 8)) |
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plt.imshow(img) |
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plt.axis('off') |
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plt.title(dataset["train"][0]["caption"]) |
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plt.show() |
