NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation
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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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- 2023Segment Anythingcited by 8,158
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- 2026Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks1 Jun 2026
- 2026Segment Anything with Robust Uncertainty-Accuracy Correlation11 May 2026
- 2026BALD-SAM: Disagreement-based Active Prompting in Interactive Segmentation11 Mar 2026
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- 2025Pairwise Matching of Intermediate Representations for Fine-grained Explainability28 Mar 2025
- 2025SAM2 for Image and Video Segmentation: A Comprehensive Survey17 Mar 2025
- 2025E-SAM: Training-Free Segment Every Entity Model15 Mar 2025
- 2025DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks24 Feb 2025
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- 2024Benchmarking Human and Automated Prompting in the Segment Anything Model29 Oct 2024
- 2024WildFusion: Individual Animal Identification with Calibrated Similarity Fusion23 Aug 2024
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- 2024WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animals13 Jun 2024
- 2023WildlifeDatasets: An open-source toolkit for animal re-identification15 Nov 2023
- 2023SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification9 Nov 2023
- 2023What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation27 Jun 2023
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- 2022Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology7 Dec 2022
- 2022SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification18 Nov 2022
- 2021Application of deep learning to camera trap data for ecologists in planning / engineering -- Can captivity imagery train a model which generalises to the wild?24 Nov 2021
- 2023Segment Anythingcited by 8,158
- 2024SAM 2: Segment Anything in Images and Videoscited by 2,784
- 2023Segment Anything in High Qualitycited by 373
- 2023WildlifeDatasets: An open-source toolkit for animal re-identificationcited by 49
- 2024RobustSAM: Segment Anything Robustly on Degraded Imagescited by 36
- 2022SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identificationcited by 25
- 2023What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentationcited by 24
- 2024WildlifeReID-10k: Wildlife re-identification dataset with 10k individual animalscited by 19
- 2024PetFace: A Large-Scale Dataset and Benchmark for Animal Identificationcited by 16
- 2024ZIM: Zero-Shot Image Matting for Anythingcited by 15
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12 most cited of 23 All 23 (JSON)
- 2026Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks1 Jun 2026
- 2026Segment Anything with Robust Uncertainty-Accuracy Correlation11 May 2026
- 2026BALD-SAM: Disagreement-based Active Prompting in Interactive Segmentation11 Mar 2026
- 2025Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation10 Jun 2025
- 2025GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation3 Jun 2025
- 2025Pairwise Matching of Intermediate Representations for Fine-grained Explainability28 Mar 2025
- 2025SAM2 for Image and Video Segmentation: A Comprehensive Survey17 Mar 2025
- 2025E-SAM: Training-Free Segment Every Entity Model15 Mar 2025
- 2024ZIM: Zero-Shot Image Matting for Anything1 Nov 2024
- 2024Benchmarking Human and Automated Prompting in the Segment Anything Model29 Oct 2024
- 2024WildFusion: Individual Animal Identification with Calibrated Similarity Fusion23 Aug 2024
- 2024SAM 2: Segment Anything in Images and Videos1 Aug 2024
12 newest of 23 All 23 (JSON)