sasha/prof_images_blip__22h-vintedois-diffusion-v0-1
收藏资源简介：
--- dataset_info: features: - name: images dtype: image - name: embeddings sequence: float32 splits: - name: courier num_bytes: 3640022.0 num_examples: 100 - name: aide num_bytes: 3358153.0 num_examples: 100 - name: police_officer num_bytes: 3522932.0 num_examples: 100 - name: purchasing_agent num_bytes: 3286344.0 num_examples: 100 - name: metal_worker num_bytes: 4410266.0 num_examples: 100 - name: financial_analyst num_bytes: 3727701.0 num_examples: 100 - name: stocker num_bytes: 3778322.0 num_examples: 100 - name: it_specialist num_bytes: 4021431.0 num_examples: 100 - name: writer num_bytes: 4150377.0 num_examples: 100 - name: accountant num_bytes: 3206485.0 num_examples: 100 - name: coach num_bytes: 3644886.0 num_examples: 100 - name: painter num_bytes: 4259647.0 num_examples: 100 - name: real_estate_broker num_bytes: 3439406.0 num_examples: 100 - name: truck_driver num_bytes: 4438012.0 num_examples: 100 - name: data_entry_keyer num_bytes: 3900333.0 num_examples: 100 - name: computer_support_specialist num_bytes: 3641931.0 num_examples: 100 - name: cook num_bytes: 3467370.0 num_examples: 100 - name: interior_designer num_bytes: 4011621.0 num_examples: 100 - name: nutritionist num_bytes: 3657524.0 num_examples: 100 - name: designer num_bytes: 3433880.0 num_examples: 100 - name: maid num_bytes: 3236767.0 num_examples: 100 - name: producer num_bytes: 3807892.0 num_examples: 100 - name: executive_assistant num_bytes: 3199680.0 num_examples: 100 - name: logistician num_bytes: 4051060.0 num_examples: 100 - name: tractor_operator num_bytes: 5097668.0 num_examples: 100 - name: doctor num_bytes: 3124348.0 num_examples: 100 - name: inventory_clerk num_bytes: 3830045.0 num_examples: 100 - name: sheet_metal_worker num_bytes: 4221678.0 num_examples: 100 - name: groundskeeper num_bytes: 4363064.0 num_examples: 100 - name: electrical_engineer num_bytes: 4562412.0 num_examples: 100 - name: physical_therapist num_bytes: 3189145.0 num_examples: 100 - name: insurance_agent num_bytes: 3040990.0 num_examples: 100 - name: aerospace_engineer num_bytes: 4278650.0 num_examples: 100 - name: psychologist num_bytes: 3143650.0 num_examples: 100 - name: financial_advisor num_bytes: 3196183.0 num_examples: 100 - name: printing_press_operator num_bytes: 4494714.0 num_examples: 100 - name: architect num_bytes: 3890945.0 num_examples: 100 - name: dental_hygienist num_bytes: 3079331.0 num_examples: 100 - name: artist num_bytes: 4244089.0 num_examples: 100 - name: office_worker num_bytes: 3462709.0 num_examples: 100 - name: ceo num_bytes: 2997987.0 num_examples: 100 - name: taxi_driver num_bytes: 4394782.0 num_examples: 100 - name: librarian num_bytes: 3984923.0 num_examples: 100 - name: author num_bytes: 3813285.0 num_examples: 100 - name: plumber num_bytes: 4141970.0 num_examples: 100 - name: construction_worker num_bytes: 3894234.0 num_examples: 100 - name: clergy num_bytes: 3282554.0 num_examples: 100 - name: electrician num_bytes: 4371703.0 num_examples: 100 - name: jailer num_bytes: 4465435.0 num_examples: 100 - name: credit_counselor num_bytes: 3139784.0 num_examples: 100 - name: scientist num_bytes: 3489240.0 num_examples: 100 - name: drywall_installer num_bytes: 3579519.0 num_examples: 100 - name: school_bus_driver num_bytes: 4491302.0 num_examples: 100 - name: dental_assistant num_bytes: 2979208.0 num_examples: 100 - name: fitness_instructor num_bytes: 3536687.0 num_examples: 100 - name: detective num_bytes: 3347937.0 num_examples: 100 - name: hairdresser num_bytes: 3080679.0 num_examples: 100 - name: welder num_bytes: 4766685.0 num_examples: 100 - name: pharmacy_technician num_bytes: 4070319.0 num_examples: 100 - name: compliance_officer num_bytes: 3471476.0 num_examples: 100 - name: singer num_bytes: 3452677.0 num_examples: 100 - name: tutor num_bytes: 3752207.0 num_examples: 100 - name: language_pathologist num_bytes: 3587772.0 num_examples: 100 - name: medical_records_specialist num_bytes: 3542194.0 num_examples: 100 - name: sales_manager num_bytes: 2974259.0 num_examples: 100 - name: industrial_engineer num_bytes: 4262086.0 num_examples: 100 - name: manager num_bytes: 3106718.0 num_examples: 100 - name: mechanic num_bytes: 4215182.0 num_examples: 100 - name: postal_worker num_bytes: 4036524.0 num_examples: 100 - name: computer_systems_analyst num_bytes: 3991071.0 num_examples: 100 - name: salesperson num_bytes: 3111991.0 num_examples: 100 - name: office_clerk num_bytes: 3599917.0 num_examples: 100 - name: claims_appraiser num_bytes: 3836012.0 num_examples: 100 - name: security_guard num_bytes: 3879575.0 num_examples: 100 - name: interviewer num_bytes: 3016817.0 num_examples: 100 - name: dispatcher num_bytes: 4344042.0 num_examples: 100 - name: lawyer num_bytes: 3271761.0 num_examples: 100 - name: marketing_manager num_bytes: 3238255.0 num_examples: 100 - name: customer_service_representative num_bytes: 3217003.0 num_examples: 100 - name: software_developer num_bytes: 3364068.0 num_examples: 100 - name: mover num_bytes: 3581012.0 num_examples: 100 - name: supervisor num_bytes: 3452055.0 num_examples: 100 - name: paralegal num_bytes: 3135751.0 num_examples: 100 - name: graphic_designer num_bytes: 4484133.0 num_examples: 100 - name: dentist num_bytes: 3104962.0 num_examples: 100 - name: roofer num_bytes: 4264565.0 num_examples: 100 - name: public_relations_specialist num_bytes: 3298954.0 num_examples: 100 - name: engineer num_bytes: 3867898.0 num_examples: 100 - name: occupational_therapist num_bytes: 3205012.0 num_examples: 100 - name: manicurist num_bytes: 3112145.0 num_examples: 100 - name: cleaner num_bytes: 3475664.0 num_examples: 100 - name: facilities_manager num_bytes: 3562539.0 num_examples: 100 - name: repair_worker num_bytes: 3906302.0 num_examples: 100 - name: cashier num_bytes: 3728570.0 num_examples: 100 - name: baker num_bytes: 3871443.0 num_examples: 100 - name: market_research_analyst num_bytes: 3889616.0 num_examples: 100 - name: health_technician num_bytes: 3356530.0 num_examples: 100 - name: veterinarian num_bytes: 3249094.0 num_examples: 100 - name: underwriter num_bytes: 3279381.0 num_examples: 100 - name: mechanical_engineer num_bytes: 4452331.0 num_examples: 100 - name: janitor num_bytes: 3733976.0 num_examples: 100 - name: pilot num_bytes: 3918334.0 num_examples: 100 - name: therapist num_bytes: 3077311.0 num_examples: 100 - name: director num_bytes: 3305172.0 num_examples: 100 - name: wholesale_buyer num_bytes: 3863590.0 num_examples: 100 - name: air_conditioning_installer num_bytes: 4217322.0 num_examples: 100 - name: butcher num_bytes: 4351854.0 num_examples: 100 - name: machinery_mechanic num_bytes: 4614179.0 num_examples: 100 - name: event_planner num_bytes: 3547339.0 num_examples: 100 - name: carpet_installer num_bytes: 4389212.0 num_examples: 100 - name: musician num_bytes: 3639823.0 num_examples: 100 - name: civil_engineer num_bytes: 3841611.0 num_examples: 100 - name: farmer num_bytes: 4438706.0 num_examples: 100 - name: financial_manager num_bytes: 3181723.0 num_examples: 100 - name: childcare_worker num_bytes: 3586015.0 num_examples: 100 - name: clerk num_bytes: 3213913.0 num_examples: 100 - name: machinist num_bytes: 4295487.0 num_examples: 100 - name: firefighter num_bytes: 4077232.0 num_examples: 100 - name: photographer num_bytes: 3606746.0 num_examples: 100 - name: file_clerk num_bytes: 4350476.0 num_examples: 100 - name: bus_driver num_bytes: 4250786.0 num_examples: 100 - name: fast_food_worker num_bytes: 3606432.0 num_examples: 100 - name: bartender num_bytes: 4221598.0 num_examples: 100 - name: computer_programmer num_bytes: 4180355.0 num_examples: 100 - name: pharmacist num_bytes: 3996786.0 num_examples: 100 - name: nursing_assistant num_bytes: 3158704.0 num_examples: 100 - name: career_counselor num_bytes: 3415428.0 num_examples: 100 - name: mental_health_counselor num_bytes: 3347482.0 num_examples: 100 - name: network_administrator num_bytes: 4600993.0 num_examples: 100 - name: teacher num_bytes: 3580451.0 num_examples: 100 - name: dishwasher num_bytes: 4831099.0 num_examples: 100 - name: teller num_bytes: 3422422.0 num_examples: 100 - name: teaching_assistant num_bytes: 3551890.0 num_examples: 100 - name: payroll_clerk num_bytes: 3292390.0 num_examples: 100 - name: laboratory_technician num_bytes: 3898419.0 num_examples: 100 - name: social_assistant num_bytes: 3222358.0 num_examples: 100 - name: radiologic_technician num_bytes: 3937403.0 num_examples: 100 - name: social_worker num_bytes: 3582335.0 num_examples: 100 - name: nurse num_bytes: 3123385.0 num_examples: 100 - name: receptionist num_bytes: 3372519.0 num_examples: 100 - name: carpenter num_bytes: 4415058.0 num_examples: 100 - name: correctional_officer num_bytes: 4070069.0 num_examples: 100 - name: community_manager num_bytes: 3301952.0 num_examples: 100 - name: massage_therapist num_bytes: 2954838.0 num_examples: 100 - name: head_cook num_bytes: 3612046.0 num_examples: 100 - name: plane_mechanic num_bytes: 3974652.0 num_examples: 100 download_size: 567913139 dataset_size: 544061331.0 --- # Dataset Card for "prof_images_blip__22h-vintedois-diffusion-v0-1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
数据集概述
数据集名称
"prof_images_blip__22h-vintedois-diffusion-v0-1"
数据集大小
- 下载大小：567913139字节
- 数据集大小：544061331.0字节
数据集特征
- images：图像数据，数据类型为image。
- embeddings：嵌入数据，数据类型为float32序列。
数据集分割
数据集包含多个职业类别，每个类别包含100个示例，具体如下：
| 职业类别 | 示例数量 | 数据大小（字节） |
|---|---|---|
| courier | 100 | 3640022.0 |
| aide | 100 | 3358153.0 |
| police_officer | 100 | 3522932.0 |
| purchasing_agent | 100 | 3286344.0 |
| metal_worker | 100 | 4410266.0 |
| financial_analyst | 100 | 3727701.0 |
| stocker | 100 | 3778322.0 |
| it_specialist | 100 | 4021431.0 |
| writer | 100 | 4150377.0 |
| accountant | 100 | 3206485.0 |
| coach | 100 | 3644886.0 |
| painter | 100 | 4259647.0 |
| real_estate_broker | 100 | 3439406.0 |
| truck_driver | 100 | 4438012.0 |
| data_entry_keyer | 100 | 3900333.0 |
| computer_support_specialist | 100 | 3641931.0 |
| cook | 100 | 3467370.0 |
| interior_designer | 100 | 4011621.0 |
| nutritionist | 100 | 3657524.0 |
| designer | 100 | 3433880.0 |
| maid | 100 | 3236767.0 |
| producer | 100 | 3807892.0 |
| executive_assistant | 100 | 3199680.0 |
| logistician | 100 | 4051060.0 |
| tractor_operator | 100 | 5097668.0 |
| doctor | 100 | 3124348.0 |
| inventory_clerk | 100 | 3830045.0 |
| sheet_metal_worker | 100 | 4221678.0 |
| groundskeeper | 100 | 4363064.0 |
| electrical_engineer | 100 | 4562412.0 |
| physical_therapist | 100 | 3189145.0 |
| insurance_agent | 100 | 3040990.0 |
| aerospace_engineer | 100 | 4278650.0 |
| psychologist | 100 | 3143650.0 |
| financial_advisor | 100 | 3196183.0 |
| printing_press_operator | 100 | 4494714.0 |
| architect | 100 | 3890945.0 |
| dental_hygienist | 100 | 3079331.0 |
| artist | 100 | 4244089.0 |
| office_worker | 100 | 3462709.0 |
| ceo | 100 | 2997987.0 |
| taxi_driver | 100 | 4394782.0 |
| librarian | 100 | 3984923.0 |
| author | 100 | 3813285.0 |
| plumber | 100 | 4141970.0 |
| construction_worker | 100 | 3894234.0 |
| clergy | 100 | 3282554.0 |
| electrician | 100 | 4371703.0 |
| jailer | 100 | 4465435.0 |
| credit_counselor | 100 | 3139784.0 |
| scientist | 100 | 3489240.0 |
| drywall_installer | 100 | 3579519.0 |
| school_bus_driver | 100 | 4491302.0 |
| dental_assistant | 100 | 2979208.0 |
| fitness_instructor | 100 | 3536687.0 |
| detective | 100 | 3347937.0 |
| hairdresser | 100 | 3080679.0 |
| welder | 100 | 4766685.0 |
| pharmacy_technician | 100 | 4070319.0 |
| compliance_officer | 100 | 3471476.0 |
| singer | 100 | 3452677.0 |
| tutor | 100 | 3752207.0 |
| language_pathologist | 100 | 3587772.0 |
| medical_records_specialist | 100 | 3542194.0 |
| sales_manager | 100 | 2974259.0 |
| industrial_engineer | 100 | 4262086.0 |
| manager | 100 | 3106718.0 |
| mechanic | 100 | 4215182.0 |
| postal_worker | 100 | 4036524.0 |
| computer_systems_analyst | 100 | 3991071.0 |
| salesperson | 100 | 3111991.0 |
| office_clerk | 100 | 3599917.0 |
| claims_appraiser | 100 | 3836012.0 |
| security_guard | 100 | 3879575.0 |
| interviewer | 100 | 3016817.0 |
| dispatcher | 100 | 4344042.0 |
| lawyer | 100 | 3271761.0 |
| marketing_manager | 100 | 3238255.0 |
| customer_service_representative | 100 | 3217003.0 |
| software_developer | 100 | 3364068.0 |
| mover | 100 | 3581012.0 |
| supervisor | 100 | 3452055.0 |
| paralegal | 100 | 3135751.0 |
| graphic_designer | 100 | 4484133.0 |
| dentist | 100 | 3104962.0 |
| roofer | 100 | 4264565.0 |
| public_relations_specialist | 100 | 3298954.0 |
| engineer | 100 | 3867898.0 |
| occupational_therapist | 100 | 3205012.0 |
| manicurist | 100 | 3112145.0 |
| cleaner | 100 | 3475664.0 |
| facilities_manager | 100 | 3562539.0 |
| repair_worker | 100 | 3906302.0 |
| cashier | 100 | 3728570.0 |
| baker | 100 | 3871443.0 |
| market_research_analyst | 100 | 3889616.0 |
| health_technician | 100 | 3356530.0 |
| veterinarian | 100 | 3249094.0 |
| underwriter | 100 | 3279381.0 |
| mechanical_engineer | 100 | 4452331.0 |
| janitor | 100 | 3733976.0 |
| pilot | 100 | 3918334.0 |
| therapist | 100 | 3077311.0 |
| director | 100 | 3305172.0 |
| wholesale_buyer | 100 | 3863590.0 |
| air_conditioning_installer | 100 | 4217322.0 |
| butcher | 100 | 4351854.0 |
| machinery_mechanic | 100 | 4614179.0 |
| event_planner | 100 | 3547339.0 |
| carpet_installer | 100 | 4389212.0 |
| musician | 100 | 3639823.0 |
| civil_engineer | 100 | 3841611.0 |
| farmer | 100 | 4438706.0 |
| financial_manager | 100 | 3181723.0 |
| childcare_worker | 100 | 3586015.0 |
| clerk | 100 | 3213913.0 |
| machinist | 100 | 4295487.0 |
| firefighter | 100 | 4077232.0 |
| photographer | 100 | 3606746.0 |
| file_clerk | 100 | 4350476.0 |
| bus_driver | 100 | 4250786.0 |
| fast_food_worker | 100 | 3606432.0 |
| bartender | 100 | 4221598.0 |
| computer_programmer | 100 | 4180355.0 |
| pharmacist | 100 | 3996786.0 |
| nursing_assistant | 100 | 3158704.0 |
| career_counselor | 100 | 3415428.0 |
| mental_health_counselor | 100 | 3347482.0 |
| network_administrator | 100 | 4600993.0 |
| teacher | 100 | 3580451.0 |
| dishwasher | 100 | 4831099.0 |
| teller | 100 | 3422422.0 |
| teaching_assistant | 100 | 3551890.0 |
| payroll_clerk | 100 | 3292390.0 |
| laboratory_technician | 100 | 3898419.0 |
| social_assistant | 100 | 3222358.0 |
| radiologic_technician | 100 | 3937403.0 |
| social_worker | 100 | 3582335.0 |
| nurse | 100 | 3123385.0 |
| receptionist | 100 | 3372519.0 |
| carpenter | 100 | 4415058.0 |
| correctional_officer | 100 | 4070069.0 |
| community_manager | 100 | 3301952.0 |
| massage_therapist | 100 | 2954838.0 |
| head_cook | 100 | 3612046.0 |
| plane_mechanic | 100 | 3974652.0 |
数据集用途
本数据集可用于图像识别、职业分类等机器学习任务。
