object detection in thermal images Computer Vision Project
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Overview
object detection in thermal images is a aggregation of multiple roboflow universe datasets to create a comprehensive dataset specifically tailored for transfer learning tasks in object detection using thermal imagery. This dataset has been curated to encompass a wide range of objects and scenarios commonly encountered in thermal imaging applications.
Classes
this dataset includes annotated images of car, people, cat, dog, using autodistill to fill in missing labels in between datasets.
Usage
- To use the models trained on this data, ⭐ this dataset to access its model checkpoint and transfer learn this model on your own data.
- Transfer learning from this dataset to other thermal tasks generally outperforms model training from COCO checkpoints.
- To download this dataset for your own training, select
versionson the right and select the most recent version.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
object-detection-in-thermal-images_dataset,
title = { object detection in thermal images Dataset },
type = { Open Source Dataset },
author = { overheadimagery },
howpublished = { \url{ https://universe.roboflow.com/overheadimagery-visqh/object-detection-in-thermal-images } },
url = { https://universe.roboflow.com/overheadimagery-visqh/object-detection-in-thermal-images },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { may },
note = { visited on 2024-12-22 },
}