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Elephant

Introduced by Stuart Andrews et al. in Support Vector Machines for Multiple-Instance Learning1 Jan 2002 archive 2025-07-28

The Elephant MIL dataset is a benchmark used in multiple instance learning (MIL), which falls under the broader categories of image classification and content-based image retrieval. The task is to determine if an image contains an elephant. Each image is treated as a "bag," and within each bag, the image is segmented into various regions called "instances," represented by feature vectors that capture visual characteristics like color, texture, and shape. A bag is labeled as positive if at least one instance contains an elephant, and negative if none of the instances do. The dataset includes 200 images (bags) with a total of 1220 1220 segments (instances), averaging ~6.1 segments per image. The challenge is that only some segments in a positive image might actually show an elephant, so the goal is to correctly classify the entire image based on these segments. This dataset is widely used to evaluate MIL algorithms, especially in cases where only parts of the data might contain the relevant information.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Multiple Instance Learning Elephant Snuffy AUC 0.967 Snuffy: Efficient Whole Slide Image Classifier jafarinia/snuffy 2 Compare

Papers archive 2025-07-28

2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 47. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Snuffy: Efficient Whole Slide Image Classifier 1 1 15 Aug 2024 not harvested
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning 2 1 17 Nov 2020 ran 4 of 6 samples (2 unverified)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Elephant

1 variant name, as the archive lists them.

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