datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
spacr-example-annotate
spaCR — Annotate and Classify example data
Example input for the Annotate and Classify modules of
spaCR. It is the output of a Measure
run, so both modules can be exercised without segmenting or measuring anything
first.
What is here
Path
What it is
data/
2,341 single-cell PNG crops, foldered by phenotype
measurements.db
The measurements, plus png_list and the annotation tables
measurements/active_learning/
The model card from the first annotation… See the full description on the dataset page: https://huggingface.co/datasets/einarolafsson/spacr-example-annotate.chest-bench-example
ChestBench Example
DICOM-VLM Framework Reference Package v0.2.0
ChestBench Example is a four-case, DICOM-native reference package for developing and validating the data architecture of a medical vision-language model (VLM) pipeline.
It is intentionally small. Its purpose is to demonstrate how medical imaging data, annotations, text, knowledge, retrieval targets, QA, evidence requirements, perturbations, and audit metadata can be represented without confusing… See the full description on the dataset page: https://huggingface.co/datasets/NeeyuHuynh/chest-bench-example.prompt2model-examples
Prompt2Model Toy Examples
Product: Prompt2Model:
a language-guided vision model factory. A typed pipeline (prompt, dataset config, training,
calibration/conformal abstain, ONNX export, an optional distill/quantize step with an
accuracy-floor gate, and a hard-case flywheel).
What this is (and isn't)
This is not a benchmark dataset. Prompt2Model has no natural "own" benchmark corpus the way a
task-specific product does. What's uploaded here is the repository's own… See the full description on the dataset page: https://huggingface.co/datasets/Dhi-Technologies/prompt2model-examples.