TACO: Trash Annotations in Context Dataset 2 Computer Vision Project
DreamB
Updated a month ago
Metrics
Try This Model
Drop an image or
Description
TACO: Trash Annotations in Context Dataset
From: Pedro F. Proença; Pedro Simões
- For more information, go to: http://tacodataset.org
- https://github.com/pedropro/TACO
TACO is a growing image dataset of trash in the wild. It contains segmented images of litter taken under diverse environments: woods, roads and beaches. These images are manually labeled according to an hierarchical taxonomy to train and evaluate object detection algorithms. Annotations are provided in a similar format to COCO dataset.
The model in action:
Examples images from the dataset:
For more details and to cite the authors:
- Paper: https://arxiv.org/abs/2003.06975
- Paper Citation: @article{taco2020, title={TACO: Trash Annotations in Context for Litter Detection}, author={Pedro F Proença and Pedro Simões}, journal={arXiv preprint arXiv:2003.06975}, year={2020} }
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
taco-trash-annotations-in-context-dataset-2_dataset,
title = { TACO: Trash Annotations in Context Dataset 2 Dataset },
type = { Open Source Dataset },
author = { DreamB },
howpublished = { \url{ https://universe.roboflow.com/dreamb/taco-trash-annotations-in-context-dataset-2 } },
url = { https://universe.roboflow.com/dreamb/taco-trash-annotations-in-context-dataset-2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2024-12-18 },
}