TACO: Trash Annotations in Context Dataset Computer Vision Dataset
About TACO: Trash Annotations in Context Dataset Dataset
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 Free Cigarette, Battery and Shoe Detection API
Powered by general detection model
Code
pip install inference-sdk# 1. Import the library
from inference_sdk import InferenceHTTPClient
# 2. Connect to your workspace
client = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
# 3. Run your workflow on an image
result = client.run_workflow(
workspace_name="<YOUR_WORKSPACE>",
workflow_id="<YOUR_WORKFLOW_ID>",
images={
"image": "YOUR_IMAGE.jpg" # Path to your image file
},
parameters={
"classes": "Cigarette, Battery, Shoe, Glass bottle, Paper cup"
},
use_cache=True # cache workflow definition for 15 minutes
)
# 4. Get your results
print(result)Run on custom image
Drop an image here or click to upload
Detecting classes:
Or try a test image
Roboflow Agent
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ taco-trash-annotations-in-context-ozmye_dataset,
title = { TACO: Trash Annotations in Context Dataset Dataset },
type = { Open Source Dataset },
author = { boresartz },
howpublished = { \url{ https://universe.roboflow.com/boresartz/taco-trash-annotations-in-context-ozmye } },
url = { https://universe.roboflow.com/boresartz/taco-trash-annotations-in-context-ozmye },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2026 },
month = { mar },
note = { visited on 2026-07-29 },
}