datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cells-uyemf
Dataset Card for cells-uyemf
** The original COCO dataset is stored at dataset.tar.gz**
Dataset Summary
cells-uyemf
Supported Tasks and Leaderboards
object-detection: The dataset can be used to train a model for Object Detection.
Languages
English
Dataset Structure
Data Instances
A data point comprises an image and its object annotations.
{
'image_id': 15,
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB… See the full description on the dataset page: https://huggingface.co/datasets/Francesco/cells-uyemf.cell-seg-overlap
Cell segmentation with overlapping cells
Synthetic phase-contrast images of rod-shaped bacteria at the pixel scale of a real recording,
rendered with an in-house generator in which cells cross and overlap heavily: cells are allowed to
cross others, to run in parallel bundles, and to occlude up to about a third of a crossing cell.
Every mask is a single 16-bit label image in which the cell on top wins where two cells overlap.
data/train/images/ 20 images, 2056 x 2056, 16-bit… See the full description on the dataset page: https://huggingface.co/datasets/Emulated-Inc/cell-seg-overlap.human_protein_atlas_cells_datasetcell_seg_datasetcell-seg-multiview_fixeduncut-cells-all-annotatedLuminBench-Weakly-Supervised-CellSeg
LuminBench: Weakly Supervised Cell Segmentation
A checksum-bound training and validation package for agent-driven research with two labelled images per group. The scientific protocol and runnable code are maintained in LuminBench-Weakly-Supervised-CellSeg. The project uses the LB-Template organization for ordinary experiments and agent research.
Split
Images
Masks
Role
training_labelled
24
24
Two human-labelled examples in each of 12 groups
training_unlabelled
967
0… See the full description on the dataset page: https://huggingface.co/datasets/LuminScience/LuminBench-Weakly-Supervised-CellSeg.White_Blood_Cells_with_annotationcell_seg_labeledBlood-Cellscell-seg-multiview_fixedV2CellPose_Results_cells_lysocell-seg-multiviewrealistic-synthetic-cellsdeepcell/realistic-synthetic-cells
Short description:
Photorealistic Jurkat-like images generated by a diffusion model conditioned on morphometric principal components.
Description:
Realistic Synthetic Cells (RSC) uses a conditional denoising diffusion model (DDPM) with a U-Net backbone to produce 128×128 grayscale cell images. The model is conditioned on a 30-dimensional vector of decorrelated principal components derived from 54 morphometric features. Training on 120 000 PC–image pairs from… See the full description on the dataset page: https://huggingface.co/datasets/Deepcell/realistic-synthetic-cells.cells-det-livecellbrightfield-immune-cellsdeepcell/brightfield-immune-cells
Short description:
This dataset contains 12 000 unstained brightfield images of primary human immune subtypes, acquired on the Deepcell REM-I instrument. It is designed for the “Discriminating Ability” benchmark in our brightfield single-cell embeddings suite.
Description:
This dataset contains 12 000 unstained brightfield images of primary human immune subtypes, acquired on the Deepcell REM-I instrument. It is designed for the “Discriminating Ability”… See the full description on the dataset page: https://huggingface.co/datasets/Deepcell/brightfield-immune-cells.cell-seg-consolidatedCellSegmentoruncut-cells-allCellSegmetorLYSOstomata-cells
Dataset Card for stomata-cells
** The original COCO dataset is stored at dataset.tar.gz**
Dataset Summary
stomata-cells
Supported Tasks and Leaderboards
object-detection: The dataset can be used to train a model for Object Detection.
Languages
English
Dataset Structure
Data Instances
A data point comprises an image and its object annotations.
{
'image_id': 15,
'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB… See the full description on the dataset page: https://huggingface.co/datasets/Francesco/stomata-cells.cut-cells-allCellSegmetorW3BF2cut-cells-all-annotatedCellSegmetorW2brightfield-cancer-cellsdeepcell/brightfield-cancer-cells
Short description:
This dataset contains 24 000 unstained brightfield images of four human cancer cell lines, acquired on the Deepcell REM-I instrument. It is designed for the “Discriminating Ability” benchmark in our brightfield single-cell embeddings suite.
Description:
This dataset contains 24 000 unstained brightfield images of four human cancer cell lines, acquired on the Deepcell REM-I instrument. It is designed for the “Discriminating Ability” benchmark… See the full description on the dataset page: https://huggingface.co/datasets/Deepcell/brightfield-cancer-cells.CellSegmetorBFCellSegmetorW3CellPose_Results_cells1cell_seg