Please fill in your name

Mobile phone format error

Please enter the telephone

Please enter your company name

Please enter your company email

Please enter the data requirement

Successful submission! Thank you for your support.

Format error, Please fill in again

Confirm

The data requirement cannot be less than 5 words and cannot be pure numbers

37,049 Images - Engineering Vehicle Data

Surveillance camera

multiple vehicle types

multiple vehicle colors

multiple license plate colors

multiple vehicle brands

different time

different vehicle orientations

vehicle attributes analysis

37,049 Images - Engineering Vehicle Data. This dataset was collected by surveillance cameras with looking down angle. This dataset contains 37,049 images, the images are the vehicle crop images. This dataset can be used for vehicle tracking, vehicle counting and other tasks.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

Specifications

Data size

37,049 images, the images are the vehicle crop images

Collecting environment

outdoor roads

Data diversity

including multiple scenes, different time periods, different vehicle types

Car types

crane, pump truck, trailer, tank truck, big truck, van, bus, etc.

Device

surveillance cameras

Collecting angle

looking down angle

Data format

the image data format is .jpg

Sample

Waiting For Data

Recommended Dataset

760,607 Images - Vehicles Detection Data in Surveillance Scenes

760,607 Images - Vehicles Detection Data in Surveillance Scenes. The collection scenes include underground parking lot, surface parking lot, entrance and exit gates and outdoor roads (highways, urban roads, etc.). The data includes different surveillance scenes, different time periods, different cameras and various vehicle distributions (crowded, sparse). In this dataset, vehicles rectangular bounding boxes and vehicle type attributes were annotated. The data can be used for tasks such as vehicles detection in surveillance scenes.

Vehicle detection data intelligent monitoring data security data

600,000 Images – Vehicle Re-ID Data in Surveillance Scenes

600,000 Images – Vehicle Re-ID Data in Surveillance Scenes. The collecting scenes of this dataset include outdoor roads (highways, road bayonets, urban roads, etc.). The data diversity includes different cameras, multiple outdoor scenes, multiple time periods. For annotation, rectangular bounding boxes of vehicles were annotated. The data can be used for tasks such as vehicle re-id in surveillance scenes.

Vehicle Re-ID outdoor roads different cameras multiple outdoor scenes multiple time periods rectangular bounding boxes of vehicles

63,503 Traffic Accident Videos Data

63,503 Traffic Accident Videos Data. The data covers highways, crossroads,rural road, etc. The data includes multiple scenes, different time, multiple weather distribution(sunny, cloudy, rainy, snowy ), multiple photographic devices. The data can be used for tasks such as traffic accident detection.

traffic accident videos multiple scenes different time multiple weather distribution multiple photographic devices surveillance camera automobile data recorder abnormal scenes

46,498 Images - Vehicle Damage Images Collection Data

46,498 Images - Vehicle Damage Images Collection Data. The dataset diversity includes multiple vehicle types, multiple outdoor scenes, multiple types of vehicle damage, multiple collecting angles, different photographic distances, and different resolutions. The types of vehicle damage include bump, scratch, paint loss and other vehicle damage. The locations of vehicle damage include the front hood, left and right headlights, door, body and trunk of the vehicle. This dataset can be used for tasks such as automatic vehicle damage detection.

multiple vehicle types multiple outdoor scenes multiple types of vehicle damage multiple collecting angles different photographic distances different resolutions

89,747 Images Vehicle Attributes Annotation Data

89,747 Images Vehicle Attributes Annotation Data. The data includes outdoor roads (highway, crossroad) scenes. The data covers multiple vehicle types, multiple vehicle colors, multiple license plate colors, multiple vehicle brands, different time, different vehicle orientations. For a vehicle, 2 rectangular bounding boxes and 5 labels were annotated, the rectangular bounding boxes include the front end or rear end of vehicle, and the whole vehicle; the labels included vehicle color, vehicle type, vehicle brand, vehicle orientation and shooting time; For a vehicle plate, a rectangular bounding box of license plate, the number of license plate and the color of license plate were annotated. This data can be used for tasks such as vehicle attributes analysis and license plate recognition.

Surveillance camera multiple vehicle types multiple vehicle colors multiple license plate colors multiple vehicle brands different time different vehicle orientations vehicle attributes analysis

Tell Us Your Special Needs

Full Name *

Contact Phone No. *

Company name *

Company Email *

Data Requirements *

By submitting, I agree to the Privacy Protection

Submit

Subscribe to our newsletter

Be the first to receive Nexdata latest product releases, data solutions and enterprise news.

Off-the-Shelf Datasets: All Category Datasets; Computer Vision Datasets; Speech Recognition Datasets; Speech Synthesis Datasets; OCR Datasets; Pronunciation Dictionary; NLU Datasets; LLM Datasets

Data Service: 3D Point Cloud Data; Street View Data; OCR Data; Behavior Recognition Data; Identity Recognition Data; Speech Recognition Data; Speech Synthesis Data; Multimodal Data

Industries: Autonomous Vehicles; AR/VR; Conversational AI; Smart Home; Retail; Intelligent Healthcare; Generative AI

Company: About Us; News; partners; Quality & Security; Event
Links: OPENMPD; DataPlus

Annotation Platform: Annotation Platform
Resources: Sponsored Datasets

Sharpen Your AI with Better Data

+1(626)594-5598

[email protected]

Sitemap Terms and Conditions

We use cookies to enhance your browsing experience, serve personalized ads or content, and analyze our traffic. By clicking "Accept All", you consent to our use of cookies.

2976c8b7-a856-4326-a31c-ce9e18e0df7b

66e43b47-137e-422f-a32e-164d5e575c0e