Datasets:

testdummyvt
/

cocohumanparts

Tasks:

Size:

Tags:

License:

Dataset card Files Files and versions

xet

Community

Dataset Viewer

The dataset viewer is not available for this dataset.

Cannot get the config names for the dataset.

Error code:   ConfigNamesError
Exception:    BadZipFile
Message:      zipfiles that span multiple disks are not supported
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 165, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1664, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1621, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1025, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 594, in infer_module_for_data_files
                  split_modules = {
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 595, in <dictcomp>
                  split: infer_module_for_data_files_list(data_files_list, download_config=download_config)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 536, in infer_module_for_data_files_list
                  return infer_module_for_data_files_list_in_archives(data_files_list, download_config=download_config)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 564, in infer_module_for_data_files_list_in_archives
                  for f in xglob(extracted, recursive=True, download_config=download_config)[
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1013, in xglob
                  fs, *_ = url_to_fs(urlpath, **storage_options)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 395, in url_to_fs
                  fs = filesystem(protocol, **inkwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/registry.py", line 293, in filesystem
                  return cls(**storage_options)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 80, in __call__
                  obj = super().__call__(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 62, in __init__
                  self.zip = zipfile.ZipFile(
                File "/usr/local/lib/python3.9/zipfile.py", line 1266, in __init__
                  self._RealGetContents()
                File "/usr/local/lib/python3.9/zipfile.py", line 1329, in _RealGetContents
                  endrec = _EndRecData(fp)
                File "/usr/local/lib/python3.9/zipfile.py", line 286, in _EndRecData
                  return _EndRecData64(fpin, -sizeEndCentDir, endrec)
                File "/usr/local/lib/python3.9/zipfile.py", line 232, in _EndRecData64
                  raise BadZipFile("zipfiles that span multiple disks are not supported")
              zipfile.BadZipFile: zipfiles that span multiple disks are not supported

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

COCO Human Parts Dataset

This is a subset of the COCO dataset specifically designed for human body part detection. The dataset includes detailed annotations for each image, allowing for training models to not just detect humans but to also identify and localize specific parts of the human body.

Labels

The COCO Human Parts dataset contains the following labels:

person [0]
head [1]
face [2]
lefthand [3]
righthand [4]
leftfoot [5]
rightfoot [6]

These labels represent the different body parts that the dataset focuses on. Each body part is annotated with a bounding box in the YOLO format (x_center, y_center, width, height). The bounding boxes are normalized such that their coordinates range from 0 to 1 relative to the image's dimensions.

Data Format

The annotations are saved in Ultralytics' YOLO format. In this format, each image is associated with a text file of the same name. This text file contains one line for each bounding box in the image, with five numbers on each line separated by spaces. The five numbers represent the object class (one of the labels above), along with the centerX, centerY, width, and height of the bounding box. All the values are relative to the width and height of the image itself, ranging from 0 to 1.

Data Splits

The dataset is split into two sets:

Train Set: Contains 64115 images.
Val Set: Contains 2693 images.

Data Statistics

Data statistics for the COCO Human Parts dataset have been generated from logs produced during training with Ultralytics.

Label Distribution

The following plot shows the label distribution in the dataset, providing insight into the frequency of each body part being annotated.

Sample Images

Below are some sample images from the train set, along with the bounding box annotations for each body part. These images have been augmented using data augmentation techniques in Ultralytics training logs.

Citation

Images and annotations are from the COCO dataset.

Humanbodayparts annotations are from Hier-R-CNN.

Downloads last month: 66