Download Report IEEE DataPort : Multi-Object Solid Waste Material Image Dataset - 2025
AVI, CSV, TXT, ZIP by Wadmare Jyoti, Wadmare Ganesh
Information
Format: AVI, CSV, TXT, ZIP Publisher: IEEE DataPort Publication Date of the Electronic Edition: 10/27/2025
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ISBN: 10.21227/q979-0v77
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Description
Urban environments worldwide face significant challenges in managing the ever-growing volume and diversity of solid waste. As consumption increases, the need for innovative and sustainable waste management solutions becomes more urgent. The Multi-object Solid Waste Image Dataset with Annotations has been developed to support research and innovation in this crucial area. Comprising 2,034 high-resolution images with detailed annotations, the dataset captures a wide array of solid waste materials, including plastics, metals, paper, cardboard, glass, and general trash. These annotated images serve as a valuable resource for training and evaluating object detection models, driving the advancement of AI-powered systems for automated waste sorting and recycling. This dataset is designed to be a versatile tool for a broad audience, including researchers, educators, industry professionals, and policymakers. Its standardized format ensures compatibility with popular object detection frameworks, making it easy to integrate into various projects and applications.
$15
$3Discount Coupon
Delivery time: Maximum 24 hours