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@@ -12,7 +12,6 @@ datasets:
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  - imageomics/2018-NEON-beetles
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  - yoohj0416/predictbeetle
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  pipeline_tag: image-to-image
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- repository: https://github.com/yoohj0416/predictbeetle
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  ---
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  # Efficient CNN-Based System for Automated Beetle Elytra Coordinates Prediction
@@ -27,7 +26,7 @@ These models accompany the paper:
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  ## Model Overview
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- Two types of models are provided:
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  - **Object Detection** — YOLOv8 models trained to detect and localize individual beetles in group images
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  - **Regression** — CNN-based models trained to predict elytra keypoint coordinates for morphological trait analysis (length and width)
@@ -63,8 +62,6 @@ Models were trained on the [yoohj0416/predictbeetle](https://huggingface.co/data
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  | EfficientNetV2-S | 1.870E-03 | **0.110** | 20.2M |
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  | EfficientNetV2-M | **1.756E-03** | **0.110** | 52.9M |
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- For usage details, refer to the [GitHub repository](https://github.com/yoohj0416/predictbeetle).
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-
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  ---
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  ## Intended Uses
 
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  - imageomics/2018-NEON-beetles
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  - yoohj0416/predictbeetle
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  pipeline_tag: image-to-image
 
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  ---
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  # Efficient CNN-Based System for Automated Beetle Elytra Coordinates Prediction
 
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  ## Model Overview
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+ Two types of models are provided (see [GitHub repository](https://github.com/yoohj0416/predictbeetle) for full usage details):
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  - **Object Detection** — YOLOv8 models trained to detect and localize individual beetles in group images
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  - **Regression** — CNN-based models trained to predict elytra keypoint coordinates for morphological trait analysis (length and width)
 
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  | EfficientNetV2-S | 1.870E-03 | **0.110** | 20.2M |
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  | EfficientNetV2-M | **1.756E-03** | **0.110** | 52.9M |
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  ---
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  ## Intended Uses