mlsanityData to 14 Oct 2026

TrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris

arXiv 2007.08097 ↗First posted 16 Jul 2020cs.CV cs.ROcited by 45

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Abstract (arXiv)

This paper presents TrashCan, a large dataset comprised of images of underwater trash collected from a variety of sources, annotated both using bounding boxes and segmentation labels, for development of robust detectors of marine debris. The dataset has two versions, TrashCan-Material and TrashCan-Instance, corresponding to different object class configurations. The eventual goal is to develop efficient and accurate trash detection methods suitable for onboard robot deployment. Along with information about the construction and sourcing of the TrashCan dataset, we present initial results of instance segmentation from Mask R-CNN and object detection from Faster R-CNN. These do not represent the best possible detection results but provides an initial baseline for future work in instance segmentation and object detection on the TrashCan dataset.

Key facts. Cited by 45 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Jul 2020.

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Citing papers per year: 2021: 2; 2022: 3; 2023: 9; 2024: 11; 2025: 13; 2026: 7.

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  1. 2023Segment Anythingcited by 8,234
  2. 2024SAM 2: Segment Anything in Images and Videoscited by 2,863
  3. 2025DICEPTION: A Generalist Diffusion Model for Visual Perceptual Taskscited by 39
  4. 2023What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentationcited by 24
  5. 2021The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentationcited by 22
  6. 2024ZIM: Zero-Shot Image Matting for Anythingcited by 16
  7. 2023Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Modelcited by 15
  8. 2024Low-Resource Vision Challenges for Foundation Modelscited by 13
  9. 2025SAM2 for Image and Video Segmentation: A Comprehensive Surveycited by 13
  10. 2024Open-Vocabulary Segmentation with Unpaired Mask-Text Supervisioncited by 12
  11. 2023Survey on video anomaly detection in dynamic scenes with moving camerascited by 10
  12. 2022Towards More Efficient EfficientDets and Low-Light Real-Time Marine Debris Detectioncited by 9
33 more
  1. 2024Adapting the Segment Anything Model During Usage in Novel Situationscited by 9
  2. 2021Waste detection in Pomerania: non-profit project for detecting waste in environmentcited by 8
  3. 2024BenthicNet: A global compilation of seafloor images for deep learning applicationscited by 7
  4. 2025AquaticCLIP: A Vision-Language Foundation Model for Underwater Scene Analysiscited by 7
  5. 2026Vision as Unified Multimodal Generationcited by 7
  6. 2023Edge-guided Representation Learning for Underwater Object Detectioncited by 6
  7. 2023A Gated Cross-domain Collaborative Network for Underwater Object Detectioncited by 5
  8. 2023MarineDet: Towards Open-Marine Object Detectioncited by 5
  9. 2025Advancing Marine Research: UWSAM Framework and UIIS10K Dataset for Precise Underwater Instance Segmentationcited by 5
  10. 2024Deep Learning Innovations for Underwater Waste Detection: An In-Depth Analysiscited by 3
  11. 2025DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentationcited by 3
  12. 2025The Common Objects Underwater (COU) Dataset for Robust Underwater Object Detectioncited by 2
  13. 2025ORCA: Object Recognition and Comprehension for Archiving Marine Speciescited by 2
  14. 2022River Surface Patch-wise Detector Using Mixture Augmentation for Scum-cover-indexcited by 1
  15. 2024Uncertainty Driven Active Learning for Image Segmentation in Underwater Inspectioncited by 1
  16. 2025IBURD: Image Blending for Underwater Robotic Detectioncited by 1
  17. 2025Advancing Complex Wide-Area Scene Understanding with Hierarchical Coresets Selectioncited by 1
  18. 2025FishDet-M: A Unified Large-Scale Benchmark for Robust Fish Detection and CLIP-Guided Model Selection in Diverse Aquatic Visual Domainscited by 1
  19. 2025StreetView-Waste: A Multi-Task Dataset for Urban Waste Managementcited by 1
  20. 2022Review On Deep Learning Technique For Underwater Object Detectioncited by 0
  21. 2023Visual Material Characteristics Learning for Circular Healthcarecited by 0
  22. 2023Intelligent Debris Mass Estimation Model for Autonomous Underwater Vehiclecited by 0
  23. 2024Underwater Object Detection Enhancement via Channel Stabilizationcited by 0
  24. 2024Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentationcited by 0
  25. 2024"ScatSpotter" -- A Dog Poop Detection Datasetcited by 0
  26. 2025Causal Prompt Calibration Guided Segment Anything Model for Open-Vocabulary Multi-Entity Segmentationcited by 0
  27. 2025WS2: Weakly Supervised Segmentation using Before-After Supervision in Waste Sortingcited by 0
  28. 2026RoLID-11K: A Dashcam Dataset for Small-Object Roadside Litter Detectioncited by 0
  29. 2026The Garbage Dataset (GD): A Multi-Class Image Benchmark for Automated Waste Segregationcited by 0
  30. 2026Assessing Vision-Language Models for Perception in Autonomous Underwater Robotic Softwarecited by 0
  31. 2026Segment Anything with Robust Uncertainty-Accuracy Correlationcited by 0
  32. 2026Don't waste SAMcited by 0
  33. 2026CoralscapesV2: Panoptic and Fine-Grained Visual Scene Understanding in Coral Reefscited by 0