AI model creator details for keremberke

yolov8s-table-extraction

The yolov8s-table-extraction model is an object detection model based on the YOLOv3 architecture. It is designed specifically for table detection in images. The model is trained on a dataset that contains labeled table images. It can detect tables and output their bounding boxes as well as the class label for each detected table. The model is implemented using the PyTorch framework and can be easily used by loading the trained model and performing predictions on new images.

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29.4K

Huggingface

yolov5n-license-plate

keremberke

yolov5n-license-plate is an object detection model specifically designed to detect license plates in images. It is based on the YOLOv5 architecture and can be used to detect license plates in various scenarios. The model can be easily installed and loaded, and it can also be fine-tuned on a custom dataset if desired. It is one of the models available in the yolov5 model collection.

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22.2K

Huggingface

yolov8n-table-extraction

keremberke

Supported Labels How to use Install ultralyticsplus: Load model and perform prediction: More models available at: awesome-yolov8-models

$-/run

7.5K

Huggingface

yolov8m-table-extraction

keremberke

Yolov8m-table-extraction is an object detection model that can detect and extract tables from images. It is trained on a dataset of table images and can accurately identify the presence and location of tables in new images. This model can be used to automate the process of extracting tables from documents, making it useful for tasks such as data extraction and analysis. The model supports various labels and can be easily loaded and used for prediction using the ultralyticsplus library.

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6.3K

Huggingface

yolov8m-hard-hat-detection

keremberke

The yolov8m-hard-hat-detection model is an object detection model trained using the YOLOv8 architecture to detect hard hats in images or videos. It is part of the UltralyticsPlus library and can be used by installing the library and loading the model to perform predictions. This model specifically focuses on detecting hard hats and is trained with a variety of labeled hard hat images.

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5.5K

Huggingface

yolov8m-protective-equipment-detection

keremberke

The yolov8m-protective-equipment-detection model is an object detection model trained to detect and identify different types of protective equipment such as hard hats, safety vests, and face masks. It is trained using the You Only Look Once (YOLO)v8 architecture and can be used to detect these objects in images or video frames. The model can be easily loaded and used for prediction using the ultralyticsplus library.

$-/run

5.1K

Huggingface

yolov5m-license-plate

keremberke

No description available.

$-/run

4.9K

Huggingface

yolov8m-building-segmentation