en

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

m.nexdata.datatang.com

895 Fire Videos Data

Fire
Multiple scenes
Multiple light conditions

895 Fire Videos Data,the total duration of videos is 27 hours 6 minutes 48.58 seconds. The dataset adpoted different cameras to shoot fire videos. The shooting time includes day and night.The dataset can be used for tasks such as fire detection.

Paid Datasets
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
SpecificationsSpecifications
Data size
895 videos, the total duration is 27 hours 6 minutes 48.58 seconds
Collecting environment
including indoor and outdoor scenes
Data diversity
multiple scenes, different time periods
Device
cameras(Samsung, Hikivison and Axis)
Collecting angles
looking down angle
Data format
the video data format is .avi
Collecting content
collecting fire videos in different scenes
Accuracy
the accuracy of labels of collecting time, collecting scene, occlusion, collection distance, collecting device is not less than 97%
Sample Sample
Recommended DatasetsRecommended Dataset
Tell Us Your Special Needs

Current Project Maturity

Early exploration (no concrete specs yet)
Defined goals, need professional guidance
Active development or optimization phase
Data & labeling experts with clear specifications

By submitting, I agree to the Privacy Protection

What types of computer vision applications can Nexdata’s datasets support?

Nexdata’s computer vision datasets support a wide range of AI applications, including image classification, object detection, image segmentation, facial and human-related recognition, scene understanding, autonomous driving, and other visual perception tasks. Depending on the dataset, data may include images, videos, bounding boxes, polygons, keypoints, segmentation masks, text annotations, and other structured labels.

Can Nexdata customize Computer Vision datasets based on our specific requirements?

Yes. If our off-the-shelf Computer Vision datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, annotation, and curation services. We can customize data based on your target objects, environments, scenarios, camera specifications, geographic locations, data volume, annotation formats, and quality standards to support specific model training and evaluation needs.

How does Nexdata ensure the quality and scalability of its Computer Vision datasets?

Nexdata applies multi-stage quality control throughout data collection, annotation, validation, and delivery. Depending on project requirements, we can implement customized annotation guidelines, multi-level reviews, consistency checks, and quality sampling to ensure dataset accuracy and consistency. Our data collection and processing capabilities can also be scaled to support large-volume Computer Vision projects.

00d39671-dfa7-4d83-9385-2afd0fc0199c

75065c94-7553-4c1a-9d44-ec45eb817734