AliKHalili
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Updated README
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README.md
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### Acquisition
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The dataset creation involved the following steps:
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- **Conversion and Filtering:** Videos were turned into frames; similar frames were filtered out using Cosine Similarity.
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- **Object Detection:** The trained model identified objects in the new images.
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- **Quality Check:** A comprehensive review ensured dataset accuracy and consistency.
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## Motivation
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Accurate and reliable identification of different cattle body parts is crucial for various agricultural and veterinary applications. This dataset aims to provide a valuable resource for researchers, developers, and enthusiasts working on object detection tasks involving cattle, ultimately contributing to advancements in livestock management, health monitoring, and related fields.
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### Acquisition
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The dataset creation involved the following steps:
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- **Conversion and Filtering:** Videos were turned into frames; similar frames were filtered out using Cosine Similarity.
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- **Object Detection:** The trained model identified objects in the new images.
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- **Quality Check:** A comprehensive review ensured dataset accuracy and consistency.
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## Motivation
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Accurate and reliable identification of different cattle body parts is crucial for various agricultural and veterinary applications. This dataset aims to provide a valuable resource for researchers, developers, and enthusiasts working on object detection tasks involving cattle, ultimately contributing to advancements in livestock management, health monitoring, and related fields.
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