Preventing Errors in Person Detection: A Part-Based Self-Monitoring Framework
Paper • 2307.04533 • Published
Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: UnicodeDecodeError
Message: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/text/text.py", line 98, in _generate_tables
batch = f.read(self.config.chunksize)
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 844, in read_with_retries
out = read(*args, **kwargs)
File "<frozen codecs>", line 325, in decode
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
image image |
|---|
End of preview.
COCO 2014 DensePose Relabeling with Body Parts
This dataset is formatted for Ultralytics YOLO and is ready for training. IMPORTANT !!!! Update the paths in the yaml inside the dataset folder
Demo
Here is what inference looks like:
Based on:
Classes:
{
1: "Person",
2: "Torso",
3: "Hand",
4: "Foot",
5: "Upper Leg",
6: "Lower Leg",
7: "Upper Arm",
8: "Lower Arm",
9: "Head"
}
Dataset Structure:
dataset/
├── images/
│ ├── train/ # Training images (e.g., .jpg or .png)
│ └── val/ # Validation images
├── labels/
│ ├── train/ # Training labels (one .txt per image)
│ └── val/ # Validation labels
└── data.yaml # YAML config file
In images/train threre are 13483 images which contain people, and also 1000 images which contain no people which are called backgrounds (they help avoid False Positives). In images/val there are 2215 images which contain people
In labels/train there are 13482 txt files which contain object detection information in the ultralytics yolo format. The 1000 background images have txt files (they don't need it) In labels/val there are 2215 txt files
Training Example:
from ultralytics import YOLO
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "0"
model = YOLO("yolo11l.pt")
results = model.train(data="dataset/data.yaml", epochs=50, imgsz=640, device="0", batch=16, save=True)
- Downloads last month
- 357