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Detr Resnet 50 Find Tuned Beyond Words

Developed by davanstrien
A vision object detection model fine-tuned on the beyond_words_23 dataset based on facebook/detr-resnet-50
Downloads 15
Release Time : 2/27/2023

Model Overview

This model is an object detection model based on the DETR architecture, specifically fine-tuned for the beyond_words_23 dataset, suitable for object detection tasks in images.

Model Features

End-to-End Object Detection
Uses DETR architecture to achieve end-to-end object detection without anchor boxes and non-maximum suppression.
ResNet-50 Backbone
Uses ResNet-50 as the feature extractor, balancing performance and computational efficiency.
Fine-tuning Optimization
Specially fine-tuned on the beyond_words_23 dataset, potentially offering better performance for specific types of objects.

Model Capabilities

Image Object Detection
Multi-object Recognition
Bounding Box Prediction

Use Cases

Computer Vision
General Object Detection
Detects common objects in images and labels their locations.
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