TACO: Trash Annotations in Context Dataset Computer Vision Project

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TACO: Trash Annotations in Context Dataset

From: Pedro F. Proença; Pedro Simões

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:

Gif of the model running inference

Examples images from the dataset:

Example Image #2 from the Dataset
Example Image #5 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}
    }

Last Updated

2 months ago

Project Type

Instance Segmentation

Subject

trash

Classes

Aerosol, Aluminium blister pack, Aluminium foil, Battery, Broken glass, Carded blister pack, Cigarette, Clear plastic bottle, Corrugated carton, Crisp packet, Disposable food container, Disposable plastic cup, Drink can, Drink carton, Egg carton, Foam cup, Foam food container, Food Can, Food waste, Garbage bag, Glass bottle, Glass cup, Glass jar, Magazine paper, Meal carton, Metal bottle cap, Metal lid, Normal paper, Other carton, Other plastic, Other plastic bottle, Other plastic container, Other plastic cup, Other plastic wrapper, Paper bag, Paper cup, Paper straw, Pizza box, Plastic bottle cap, Plastic film, Plastic glooves, Plastic lid, Plastic straw, Plastic utensils, Polypropylene bag, Pop tab, Rope & strings, Scrap metal, Shoe, Single-use carrier bag, Six pack rings, Spread tub, Squeezable tube, Styrofoam piece, Tissues, Toilet tube, Tupperware, Unlabeled litter, Wrapping paper

License

CC BY 4.0