pedropro/TACO
🌮 Trash Annotations in Context Dataset Toolkit
TACO provides a collection of real-world images featuring litter in various outdoor environments like woods, roads, and beaches. It offers manually labeled and segmented images of waste, allowing researchers and environmental scientists to develop and evaluate computer vision models for trash detection. You get images and their corresponding annotations, which are used to train algorithms that can identify different types of litter.
713 stars. No commits in the last 6 months.
Use this if you are an environmental researcher or data scientist working on automated waste detection and need a pre-labeled image dataset to train and test your object detection models.
Not ideal if you are looking for a dataset of waste images in indoor environments, or if you require an extremely large dataset with diverse object classes beyond common litter.
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MIT
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Last pushed
Jun 16, 2024
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