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Detr Resnet 50 Finetuned 20 Epochs Boat Dataset
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Detr Resnet 50 Finetuned 20 Epochs Boat Dataset
Developed by ARG-NCTU
An object detection model fine-tuned for 20 epochs on a boat dataset, based on the facebook/detr-resnet-50 model
Downloads 272
Release Time : 1/17/2025
Model Overview
This model is an object detection model using the DETR (Detection Transformer) architecture with a ResNet-50 backbone, fine-tuned for 20 epochs on a specific boat dataset.
Model Features
End-to-End Object Detection
Utilizes Transformer architecture for end-to-end object detection, eliminating the need for anchor generation and non-maximum suppression steps in traditional methods.
ResNet-50 Based Feature Extraction
Uses ResNet-50 as the backbone network, providing robust feature extraction capabilities.
Optimized for Boat Detection
Fine-tuned for 20 epochs on a specific boat dataset, potentially offering better detection performance for boat-class objects.
Model Capabilities
Object Detection
Image Analysis
Boat Recognition
Use Cases
Maritime Applications
Boat Monitoring
Used for automatic detection and tracking of boats in ports or at sea.
Maritime Search and Rescue
Assists in identifying boat targets on the sea surface.
Remote Sensing Image Analysis
Satellite Image Boat Detection
Analyzes boat targets in satellite or aerial images.
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