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sasha/prof_images_blip__plasmo-vox2

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Hugging Face2023-06-02 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/sasha/prof_images_blip__plasmo-vox2
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资源简介:
--- dataset_info: features: - name: images dtype: image - name: embeddings sequence: float32 splits: - name: courier num_bytes: 3423528.0 num_examples: 100 - name: aide num_bytes: 3244224.0 num_examples: 100 - name: police_officer num_bytes: 3398034.0 num_examples: 100 - name: purchasing_agent num_bytes: 3540884.0 num_examples: 100 - name: metal_worker num_bytes: 4421578.0 num_examples: 100 - name: financial_analyst num_bytes: 3525818.0 num_examples: 100 - name: stocker num_bytes: 3668194.0 num_examples: 100 - name: it_specialist num_bytes: 3883417.0 num_examples: 100 - name: writer num_bytes: 4070073.0 num_examples: 100 - name: accountant num_bytes: 3361130.0 num_examples: 100 - name: coach num_bytes: 3681340.0 num_examples: 100 - name: painter num_bytes: 3663277.0 num_examples: 100 - name: real_estate_broker num_bytes: 3881527.0 num_examples: 100 - name: truck_driver num_bytes: 4762464.0 num_examples: 100 - name: data_entry_keyer num_bytes: 3943893.0 num_examples: 100 - name: computer_support_specialist num_bytes: 3579387.0 num_examples: 100 - name: cook num_bytes: 3935344.0 num_examples: 100 - name: interior_designer num_bytes: 3863912.0 num_examples: 100 - name: nutritionist num_bytes: 4191014.0 num_examples: 100 - name: designer num_bytes: 3694216.0 num_examples: 100 - name: maid num_bytes: 3336759.0 num_examples: 100 - name: producer num_bytes: 3698866.0 num_examples: 100 - name: executive_assistant num_bytes: 3476209.0 num_examples: 100 - name: logistician num_bytes: 4154711.0 num_examples: 100 - name: tractor_operator num_bytes: 5715657.0 num_examples: 100 - name: doctor num_bytes: 3380213.0 num_examples: 100 - name: inventory_clerk num_bytes: 4119354.0 num_examples: 100 - name: sheet_metal_worker num_bytes: 4270886.0 num_examples: 100 - name: groundskeeper num_bytes: 4686560.0 num_examples: 100 - name: electrical_engineer num_bytes: 4254724.0 num_examples: 100 - name: physical_therapist num_bytes: 3495855.0 num_examples: 100 - name: insurance_agent num_bytes: 3336134.0 num_examples: 100 - name: aerospace_engineer num_bytes: 3918981.0 num_examples: 100 - name: psychologist num_bytes: 3244336.0 num_examples: 100 - name: financial_advisor num_bytes: 3438360.0 num_examples: 100 - name: printing_press_operator num_bytes: 4746248.0 num_examples: 100 - name: architect num_bytes: 3490579.0 num_examples: 100 - name: dental_hygienist num_bytes: 3180704.0 num_examples: 100 - name: artist num_bytes: 3581093.0 num_examples: 100 - name: office_worker num_bytes: 3451989.0 num_examples: 100 - name: ceo num_bytes: 3151206.0 num_examples: 100 - name: taxi_driver num_bytes: 4501839.0 num_examples: 100 - name: librarian num_bytes: 4192865.0 num_examples: 100 - name: author num_bytes: 3887617.0 num_examples: 100 - name: plumber num_bytes: 4047685.0 num_examples: 100 - name: construction_worker num_bytes: 3854826.0 num_examples: 100 - name: clergy num_bytes: 3408405.0 num_examples: 100 - name: electrician num_bytes: 4199722.0 num_examples: 100 - name: jailer num_bytes: 4267444.0 num_examples: 100 - name: credit_counselor num_bytes: 3314704.0 num_examples: 100 - name: scientist num_bytes: 3512995.0 num_examples: 100 - name: drywall_installer num_bytes: 3599648.0 num_examples: 100 - name: school_bus_driver num_bytes: 5209440.0 num_examples: 100 - name: dental_assistant num_bytes: 3205046.0 num_examples: 100 - name: fitness_instructor num_bytes: 3716144.0 num_examples: 100 - name: detective num_bytes: 3365101.0 num_examples: 100 - name: hairdresser num_bytes: 3192252.0 num_examples: 100 - name: welder num_bytes: 4494520.0 num_examples: 100 - name: pharmacy_technician num_bytes: 4329247.0 num_examples: 100 - name: compliance_officer num_bytes: 3411389.0 num_examples: 100 - name: singer num_bytes: 3272917.0 num_examples: 100 - name: tutor num_bytes: 3568303.0 num_examples: 100 - name: language_pathologist num_bytes: 3730678.0 num_examples: 100 - name: medical_records_specialist num_bytes: 3605950.0 num_examples: 100 - name: sales_manager num_bytes: 3318864.0 num_examples: 100 - name: industrial_engineer num_bytes: 4115078.0 num_examples: 100 - name: manager num_bytes: 3280958.0 num_examples: 100 - name: mechanic num_bytes: 4387384.0 num_examples: 100 - name: postal_worker num_bytes: 3888284.0 num_examples: 100 - name: computer_systems_analyst num_bytes: 4008810.0 num_examples: 100 - name: salesperson num_bytes: 3324629.0 num_examples: 100 - name: office_clerk num_bytes: 3502947.0 num_examples: 100 - name: claims_appraiser num_bytes: 4116748.0 num_examples: 100 - name: security_guard num_bytes: 3698917.0 num_examples: 100 - name: interviewer num_bytes: 3337108.0 num_examples: 100 - name: dispatcher num_bytes: 3821409.0 num_examples: 100 - name: lawyer num_bytes: 3537329.0 num_examples: 100 - name: marketing_manager num_bytes: 3728216.0 num_examples: 100 - name: customer_service_representative num_bytes: 3466805.0 num_examples: 100 - name: software_developer num_bytes: 3438958.0 num_examples: 100 - name: mover num_bytes: 4269819.0 num_examples: 100 - name: supervisor num_bytes: 3639203.0 num_examples: 100 - name: paralegal num_bytes: 3387091.0 num_examples: 100 - name: graphic_designer num_bytes: 3933753.0 num_examples: 100 - name: dentist num_bytes: 3162309.0 num_examples: 100 - name: roofer num_bytes: 4417978.0 num_examples: 100 - name: public_relations_specialist num_bytes: 3548786.0 num_examples: 100 - name: engineer num_bytes: 3607696.0 num_examples: 100 - name: occupational_therapist num_bytes: 3765664.0 num_examples: 100 - name: manicurist num_bytes: 3156665.0 num_examples: 100 - name: cleaner num_bytes: 3555190.0 num_examples: 100 - name: facilities_manager num_bytes: 3586125.0 num_examples: 100 - name: repair_worker num_bytes: 3969832.0 num_examples: 100 - name: cashier num_bytes: 4210278.0 num_examples: 100 - name: baker num_bytes: 3794703.0 num_examples: 100 - name: market_research_analyst num_bytes: 3790820.0 num_examples: 100 - name: health_technician num_bytes: 3401502.0 num_examples: 100 - name: veterinarian num_bytes: 3594282.0 num_examples: 100 - name: underwriter num_bytes: 3476810.0 num_examples: 100 - name: mechanical_engineer num_bytes: 4785449.0 num_examples: 100 - name: janitor num_bytes: 3902165.0 num_examples: 100 - name: pilot num_bytes: 3777317.0 num_examples: 100 - name: therapist num_bytes: 3381660.0 num_examples: 100 - name: director num_bytes: 3478346.0 num_examples: 100 - name: wholesale_buyer num_bytes: 4491884.0 num_examples: 100 - name: air_conditioning_installer num_bytes: 4800832.0 num_examples: 100 - name: butcher num_bytes: 4457447.0 num_examples: 100 - name: machinery_mechanic num_bytes: 4827307.0 num_examples: 100 - name: event_planner num_bytes: 4028145.0 num_examples: 100 - name: carpet_installer num_bytes: 4487582.0 num_examples: 100 - name: musician num_bytes: 3596171.0 num_examples: 100 - name: civil_engineer num_bytes: 3885104.0 num_examples: 100 - name: farmer num_bytes: 4809106.0 num_examples: 100 - name: financial_manager num_bytes: 3290682.0 num_examples: 100 - name: childcare_worker num_bytes: 4092135.0 num_examples: 100 - name: clerk num_bytes: 3480529.0 num_examples: 100 - name: machinist num_bytes: 4105933.0 num_examples: 100 - name: firefighter num_bytes: 4083959.0 num_examples: 100 - name: photographer num_bytes: 3843412.0 num_examples: 100 - name: file_clerk num_bytes: 4244068.0 num_examples: 100 - name: bus_driver num_bytes: 4868937.0 num_examples: 100 - name: fast_food_worker num_bytes: 3775473.0 num_examples: 100 - name: bartender num_bytes: 4528745.0 num_examples: 100 - name: computer_programmer num_bytes: 3955305.0 num_examples: 100 - name: pharmacist num_bytes: 4211103.0 num_examples: 100 - name: nursing_assistant num_bytes: 3281644.0 num_examples: 100 - name: career_counselor num_bytes: 3636112.0 num_examples: 100 - name: mental_health_counselor num_bytes: 3311030.0 num_examples: 100 - name: network_administrator num_bytes: 4071059.0 num_examples: 100 - name: teacher num_bytes: 3655156.0 num_examples: 100 - name: dishwasher num_bytes: 4621986.0 num_examples: 100 - name: teller num_bytes: 3525857.0 num_examples: 100 - name: teaching_assistant num_bytes: 3707175.0 num_examples: 100 - name: payroll_clerk num_bytes: 3350816.0 num_examples: 100 - name: laboratory_technician num_bytes: 3638099.0 num_examples: 100 - name: social_assistant num_bytes: 3771851.0 num_examples: 100 - name: radiologic_technician num_bytes: 3569203.0 num_examples: 100 - name: social_worker num_bytes: 3802343.0 num_examples: 100 - name: nurse num_bytes: 3246629.0 num_examples: 100 - name: receptionist num_bytes: 3098001.0 num_examples: 100 - name: carpenter num_bytes: 4289428.0 num_examples: 100 - name: correctional_officer num_bytes: 3611592.0 num_examples: 100 - name: community_manager num_bytes: 3838039.0 num_examples: 100 - name: massage_therapist num_bytes: 3138902.0 num_examples: 100 - name: head_cook num_bytes: 3749713.0 num_examples: 100 - name: plane_mechanic num_bytes: 3959746.0 num_examples: 100 download_size: 580868020 dataset_size: 557055542.0 --- # Dataset Card for "prof_images_blip__plasmo-vox2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
sasha
原始信息汇总

数据集概述

数据集名称

"prof_images_blip__plasmo-vox2"

数据集大小

  • 下载大小: 580868020
  • 数据集大小: 557055542.0

数据集特征

  • images: 数据类型为图像。
  • embeddings: 数据类型为序列,具体为float32。

数据集分割

数据集包含多个分割,每个分割对应不同的职业,每个分割包含100个示例,具体信息如下:

职业 示例数量 字节数
courier 100 3423528.0
aide 100 3244224.0
police_officer 100 3398034.0
purchasing_agent 100 3540884.0
metal_worker 100 4421578.0
financial_analyst 100 3525818.0
stocker 100 3668194.0
it_specialist 100 3883417.0
writer 100 4070073.0
accountant 100 3361130.0
coach 100 3681340.0
painter 100 3663277.0
real_estate_broker 100 3881527.0
truck_driver 100 4762464.0
data_entry_keyer 100 3943893.0
computer_support_specialist 100 3579387.0
cook 100 3935344.0
interior_designer 100 3863912.0
nutritionist 100 4191014.0
designer 100 3694216.0
maid 100 3336759.0
producer 100 3698866.0
executive_assistant 100 3476209.0
logistician 100 4154711.0
tractor_operator 100 5715657.0
doctor 100 3380213.0
inventory_clerk 100 4119354.0
sheet_metal_worker 100 4270886.0
groundskeeper 100 4686560.0
electrical_engineer 100 4254724.0
physical_therapist 100 3495855.0
insurance_agent 100 3336134.0
aerospace_engineer 100 3918981.0
psychologist 100 3244336.0
financial_advisor 100 3438360.0
printing_press_operator 100 4746248.0
architect 100 3490579.0
dental_hygienist 100 3180704.0
artist 100 3581093.0
office_worker 100 3451989.0
ceo 100 3151206.0
taxi_driver 100 4501839.0
librarian 100 4192865.0
author 100 3887617.0
plumber 100 4047685.0
construction_worker 100 3854826.0
clergy 100 3408405.0
electrician 100 4199722.0
jailer 100 4267444.0
credit_counselor 100 3314704.0
scientist 100 3512995.0
drywall_installer 100 3599648.0
school_bus_driver 100 5209440.0
dental_assistant 100 3205046.0
fitness_instructor 100 3716144.0
detective 100 3365101.0
hairdresser 100 3192252.0
welder 100 4494520.0
pharmacy_technician 100 4329247.0
compliance_officer 100 3411389.0
singer 100 3272917.0
tutor 100 3568303.0
language_pathologist 100 3730678.0
medical_records_specialist 100 3605950.0
sales_manager 100 3318864.0
industrial_engineer 100 4115078.0
manager 100 3280958.0
mechanic 100 4387384.0
postal_worker 100 3888284.0
computer_systems_analyst 100 4008810.0
salesperson 100 3324629.0
office_clerk 100 3502947.0
claims_appraiser 100 4116748.0
security_guard 100 3698917.0
interviewer 100 3337108.0
dispatcher 100 3821409.0
lawyer 100 3537329.0
marketing_manager 100 3728216.0
customer_service_representative 100 3466805.0
software_developer 100 3438958.0
mover 100 4269819.0
supervisor 100 3639203.0
paralegal 100 3387091.0
graphic_designer 100 3933753.0
dentist 100 3162309.0
roofer 100 4417978.0
public_relations_specialist 100 3548786.0
engineer 100 3607696.0
occupational_therapist 100 3765664.0
manicurist 100 3156665.0
cleaner 100 3555190.0
facilities_manager 100 3586125.0
repair_worker 100 3969832.0
cashier 100 4210278.0
baker 100 3794703.0
market_research_analyst 100 3790820.0
health_technician 100 3401502.0
veterinarian 100 3594282.0
underwriter 100 3476810.0
mechanical_engineer 100 4785449.0
janitor 100 3902165.0
pilot 100 3777317.0
therapist 100 3381660.0
director 100 3478346.0
wholesale_buyer 100 4491884.0
air_conditioning_installer 100 4800832.0
butcher 100 4457447.0
machinery_mechanic 100 4827307.0
event_planner 100 4028145.0
carpet_installer 100 4487582.0
musician 100 3596171.0
civil_engineer 100 3885104.0
farmer 100 4809106.0
financial_manager 100 3290682.0
childcare_worker 100 4092135.0
clerk 100 3480529.0
machinist 100 4105933.0
firefighter 100 4083959.0
photographer 100 3843412.0
file_clerk 100 4244068.0
bus_driver 100 4868937.0
fast_food_worker 100 3775473.0
bartender 100 4528745.0
computer_programmer 100 3955305.0
pharmacist 100 4211103.0
nursing_assistant 100 3281644.0
career_counselor 100 3636112.0
mental_health_counselor 100 3311030.0
network_administrator 100 4071059.0
teacher 100 3655156.0
dishwasher 100 4621986.0
teller 100 3525857.0
teaching_assistant 100 3707175.0
payroll_clerk 100 3350816.0
laboratory_technician 100 3638099.0
social_assistant 100 3771851.0
radiologic_technician 100 3569203.0
social_worker 100 3802343.0
nurse 100 3246629.0
receptionist 100 3098001.0
carpenter 100 4289428.0
correctional_officer 100 3611592.0
community_manager 100 3838039.0
massage_therapist 100 3138902.0
head_cook 100 3749713.0
plane_mechanic 100 3959746.0

数据集使用说明

  • 数据集主要用于图像和嵌入向量的分析与研究。
  • 每个职业分割提供100个示例,适合进行职业相关的图像识别和分析任务。
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