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slliac/detr-group37-resnet-101-dc5
detr-group37-resnet-101-dc5 is a machine learning model from slliac. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model is a fine-tuned version of [facebook/detr-resnet-101-dc5] for detecting vehicles in traffic camera images. The model was trained for improved vehicle detection in traffic scenarios.
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From the Hugging Face model README
## Model Description
This model is a fine-tuned version of [facebook/detr-resnet-101-dc5] for detecting vehicles in traffic camera images. The model was trained for improved vehicle detection in traffic scenarios.
## Training Data
The model was trained on the [slliac/isom5240-td-traffic-analysis], which contains traffic camera images with annotations for various vehicle types.
## Training Details
- **Base Model**: facebook/detr-resnet-101-dc5
- **Training Dataset Size**: 786 examples
- **Epochs**: 2
- **Batch Size**: 2
- **Learning Rate**: 5e-05
- **Weight Decay**: 1e-4
- **Training Date**: 2025-03-26
- **Final Training Loss**: 1.0996
- **Training Time**: 426.22 seconds
## Performance Metrics
- **Training Loss**: 1.0996
- **Samples per Second**: 3.69
- **Steps per Second**: 1.84