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Home > All Category Datasets > Computer Vision Datasets > 30K Industrial Images for Manufacturing AI and Object Detection

30K Industrial Images for Manufacturing AI and Object Detection

industrial image dataset

industrial AI dataset

industrial dataset

industrial computer vision dataset

industrial training dataset

This dataset contains 30,010 industrial product images covering a diverse range of manufacturing categories. Each image is annotated with bounding boxes and corresponding object category labels.The dataset is suitable for industrial object detection, product classification, manufacturing AI, and other visual recognition tasks.

This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.

Specifications

Specifications

Data size

30,010 images

Collection diversity

multiple product types

Data format

the image data format is commonly used in formats such as . jpg, and the annotation document format is .json

Annotation Contents

rectangular box annotation and target category label annotation.

Data resolution

1,280*720 or more

Sample

Sample

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Dataset FAQs

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.

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