We rather correct inaccurate labels than poor quality segmentations. Your annotations are going to be reviewed anyway by an expert. However, these will not be added to our official dataset until these are reviewed by us.īased on the job quality, these can be: accepted as they are, corrected for minor issues or rejected.ĭon't worry too much about the object label and taxonomy. I have done a few annotations, now what? When is the dataset going to be updated?Įvery Monday, last week submissions are automatically released and added to our git repo. Thus, objects are tagged based on context Some objects are handheld or not even trash yet. Not all objects in TACO are strictly litter.
TACO covers many environments which are tagged for convenience. You can do whatever you want with TACO as long as you cite us. Typically used bounding boxes are not enough for certain tasks, e.g., robotic grasping Our goal is to take TACO to the next level with the following features: While there are a few other trash datasets, we believe these are not enough. However, to learn accurate trash detectors, deep learning needs many annotated images. All of this is now possible with the recent advances of deep learning. Think of drones surveying trash, robots picking up litter, anti-littering video surveillanceĪnd AR to educate and help humans to separate trash. We believe AI has an important role to play. These should be kept in the recycling chain not in our food chain. Recent studies have also found microplastics in human stools. On images of turtles choking on plastic bags and birds filled with bottle caps. We have all seen the impact of this behaviour to wildlife Humans have been trashing planet Earth fromĪt least 15 tonnes of plastic waste leak into the ocean, that is equivalent to the capacity of one garbage truck.
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