RobustDet

Introduction

RobustDet is a model hosted on Hugging Face, designed for robust object detection tasks. It leverages advanced neural architectures to achieve high accuracy in identifying and classifying objects within images.

Architecture

Details on the specific architecture of RobustDet are not provided in the README. Typically, such models use convolutional neural networks (CNNs) and may incorporate layers that enhance feature detection and robustness against varied image conditions.

Training

The README does not specify the training dataset or parameters used for RobustDet. Generally, training for object detection models involves using large annotated datasets like COCO or Pascal VOC, employing techniques like transfer learning to improve efficiency.

Guide: Running Locally

To run RobustDet locally:

1. Clone the repository from Hugging Face.
2. Install the required dependencies, possibly using pip install -r requirements.txt.
3. Execute the model using a compatible framework such as PyTorch or TensorFlow.

Recommended Cloud GPUs

Consider utilizing cloud services like AWS EC2 with NVIDIA GPUs, Google Cloud's AI Platform, or Azure's Machine Learning service to leverage GPU acceleration for faster processing and training.

License

RobustDet is licensed under the Apache License 2.0. This allows users to freely use, modify, and distribute the software, provided that they comply with the license's terms and conditions.