Selective Augmentation to Create a Balance Dataset Based on Photometric Variation
Dataset quality is an integral aspect of image object detection. Consequently, poor-quality datasets are often blamed for limiting model performance. Conventional convolutional neural network models attempt to address the model performance issue and have achieved high accuracy; however, these models...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2024-01-01
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| coleção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/10620976/ |
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