mlsanityData to 7 Oct 2026

NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation

arXiv 2005.13359 ↗First posted 27 May 2020cs.CVcited by 24

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Abstract (arXiv)

We introduce the Northumberland Dolphin Dataset 2020 (NDD20), a challenging image dataset annotated for both coarse and fine-grained instance segmentation and categorisation. This dataset, the first release of the NDD, was created in response to the rapid expansion of computer vision into conservation research and the production of field-deployable systems suited to extreme environmental conditions -- an area with few open source datasets. NDD20 contains a large collection of above and below water images of two different dolphin species for traditional coarse and fine-grained segmentation. All data contained in NDD20 was obtained via manual collection in the North Sea around the Northumberland coastline, UK. We present experimentation using standard deep learning network architecture trained using NDD20 and report baselines results.

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 May 2020.

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Citing papers per year: 2021: 1; 2022: 2; 2023: 5; 2024: 7; 2025: 6; 2026: 3.

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  1. 2023Segment Anythingcited by 8,158
  2. 2024SAM 2: Segment Anything in Images and Videoscited by 2,784
  3. 2023Segment Anything in High Qualitycited by 373
  4. 2023WildlifeDatasets: An open-source toolkit for animal re-identificationcited by 49
  5. 2025DICEPTION: A Generalist Diffusion Model for Visual Perceptual Taskscited by 37
  6. 2024RobustSAM: Segment Anything Robustly on Degraded Imagescited by 36
  7. 2022SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identificationcited by 25
  8. 2023What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentationcited by 24
  9. 2024WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animalscited by 19
  10. 2024PetFace: A Large-Scale Dataset and Benchmark for Animal Identificationcited by 16
  11. 2024ZIM: Zero-Shot Image Matting for Anythingcited by 15
  12. 2025SAM2 for Image and Video Segmentation: A Comprehensive Surveycited by 13
12 more
  1. 2024WildFusion: Individual Animal Identification with Calibrated Similarity Fusioncited by 9
  2. 2024Benchmarking Human and Automated Prompting in the Segment Anything Modelcited by 6
  3. 2025Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentationcited by 5
  4. 2025Pairwise Matching of Intermediate Representations for Fine-grained Explainabilitycited by 3
  5. 2021Application of deep learning to camera trap data for ecologists in planning / engineering -- Can captivity imagery train a model which generalises to the wild?cited by 2
  6. 2025E-SAM: Training-Free Segment Every Entity Modelcited by 2
  7. 2025GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptationcited by 1
  8. 2026BALD-SAM: Disagreement-based Active Prompting in Interactive Segmentationcited by 1
  9. 2022Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecologycited by 0
  10. 2023SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identificationcited by 0
  11. 2026Segment Anything with Robust Uncertainty-Accuracy Correlationcited by 0
  12. 2026Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Taskscited by 0