ePillID-benchmark
importeddata/epillid-benchmark
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- arxiv.org/abs/2005.14288
- Repository
- github.com/usuyama/ePillID-benchmark
- Documentation
- unknown
- Tags
- dataset · fine-grained-visual-categorization · healthcare · image-classification · metric-learning · pill-identification
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- ECG-TransNetmetric-learning
Official PyTorch implementation of "ECG TransNet: Intra/Inter-Lead Feature Integration with Proxy-Guided Learning for 12-Lead ECG Classification" (ICASSP 2026). A SOTA multi-label 12-lead ECG…
- Brain-MRI-Image-Classification-Using-Deep-Learninghealthcare · image-classification
Trained a Multi-Layer Perceptron, AlexNet and pre-trained InceptionV3 architectures on NVIDIA GPUs to classify Brain MRI images into meningioma, glioma, pituitary tumor which are cancer classes and…
- blood-cell-detection-datasetdataset · healthcare
WBC & RBC detection dataset from peripheral blood smears. https://aslan.md/blood-cell-detection-dataset/
- dataset-uta7-dicomdataset · healthcare
[IJHCS] UTA7: a dataset with DICOM files of medical imaging provided by radiologists. The work was published in the International Journal of Human-Computer Studies.
- fedbiomeddataset · healthcare
A collaborative learning framework for empowering biomedical research
- FLambydataset · healthcare
Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.
- api.github.com/repos/usuyama/ePillID-benchmarkretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2022-04-13, 95 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/8.json→ .entries["epillid-benchmark"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.