People Detection Computer Vision Project
collegeproject
Updated 4 months ago
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Classes (63)
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Bicycle
Bike
Car
Cyclist
Pedestrian
Pedestrians
Persona
Pessoa
Signboard
Stopper
aeroplane
auto
bag
berdiri
bicycle
bike
bird
boat
bottle
bus
car
cat
chair
cow
cyclist
dianzhuan
diningtable
dog
face
football
forklift
handbag
head
helmet
high
horse
jatuh
laptop
low
medium
motorbike
number_plate
people
person
persons
player
pottedplant
refrigerator
sheep
sofa
teddy bear
train
truck
tv
tvmonitor
vase
Description
Detect people in all kinds of scenarios using this generalized dataset.
For this dataset, we curated images and annotations from various projects from Universe to create a well performing model regardless of scenario by pulling from a variety of specialized datasets.
We selected data that ranged in type, context, annotation size, annotation count and cameras.
This dataset used images and/or annotations from the following Universe projects:
- First Pedestrian Test (CC BY 4.0 license)
- person_camera_security1 (CC BY 4.0 license)
- Human Action Recognition 2000 (CC BY 4.0 license)
- People Detection (CC BY 4.0 license)
- contador-de-gente teste 3 (CC BY 4.0 license)
- OD3 (CC BY 4.0 license)
- Person Detection (CC BY 4.0 license)
- MOT17-03-DPM
- The Curve (CC BY 4.0 license)
- pedestrain safety (CC BY 4.0 license)
- People Detection (CC BY 4.0 license)
- people、rabish (CC BY 4.0 license)
- Pascal VOC 2012 (CC BY 4.0 license)
- Person Detection (General) (CC BY 4.0 license)
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ people-detection-o4rdr-gbcmg_dataset, title = { People Detection Dataset }, type = { Open Source Dataset }, author = { collegeproject }, howpublished = { \url{ https://universe.roboflow.com/collegeproject-danzz/people-detection-o4rdr-gbcmg } }, url = { https://universe.roboflow.com/collegeproject-danzz/people-detection-o4rdr-gbcmg }, journal = { Roboflow Universe }, publisher = { Roboflow }, year = { 2024 }, month = { oct }, note = { visited on 2025-02-11 }, }