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SJSU Headcount Scene-3
This dataset is prepared in YOLOv8 format and split into 70% Train, 20% Validation, and 10% Test.
Contents
The repository contains a single zip file sjsu-headcount-scene-3.zip containing:
train/images/&train/labels/valid/images/&valid/labels/test/images/&test/labels/data.yaml
How to Use
To use this dataset in Python:
from huggingface_hub import hf_hub_download
import zipfile
# Download zip
zip_path = hf_hub_download(
repo_id="bdanko/sjsu-headcount-scene-3",
filename="sjsu-headcount-scene-3.zip",
repo_type="dataset"
)
# Unzip
with zipfile.ZipFile(zip_path, 'r') as zip_ref:
zip_ref.extractall("sjsu-headcount-scene-3")
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