Classification of Trash for Recyclability Status

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ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes (2021, background): “Several related datasets have been proposed that contain only image-level labels, like Portland State University Recycling [38] consists of labeled images of box-board, glass bottles, soda cans, crushed soda cans and plastic bottles, and a small-scale Stanford TrashNet [60] dataset containing images”
FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters (2021, neutral): “[55] present the TrashNet dataset containing classes of common trashes like glass, paper, etc.”
Automation of Waste Sorting with Deep Learning (2019, positive): “Mindy Yang et al. [9] performed a comparison study to classify waste between SVMs with scale invariant feature transform (SIFT) [10] and an eleven-layer CNN architecture similar to AlexNet [11].”
Robotic Waste Sorting Technology: Toward a Vision-Based Categorization System for the Industrial Robotic Separation of Recyclable Waste (2021, background): “To the best of our knowledge, there are only two open source data sets, namely, TrashNet [16] and Taco [17], that are available for public use.”