Zebra Crossing Image Dataset

Challenging zebra crossing detection and recognition for autonomous driving cars

About Dataset

This dataset is collected by DataCluster Labs. To download full dataset or to submit a request for your new data collection needs, please drop a mail to: sales@datacluster.ai

This dataset is an extremely challenging set of over 3,000+ images of excavator vehicles from multiple construction site. These images captured and crowdsourced from over 200+ different locations, where each image is manually reviewed and verified by computer vision professionals at Datacluster Labs. It contains a wide variety of Zebra Crossings in the county.

Dataset Features

1. Dataset size : 3000+ images
2. Captured by : Over 1000+ crowdsource contributors
3. Resolution : HD and above (1920x1080 and above)
4. Location : Captured with 200+ locations
5. Diversity : Various lighting conditions like day, night, varied distances, view points etc.
6. Device used : Captured using mobile phones in 2020-2022
7. Usage : Objects on the road, self-driving vehicles etc.

Available Annotation formats COCO, YOLO, PASCAL-VOC, Tf-Record

**To download full datasets or to submit a request for your dataset needs, please ping us at sales@datacluster.ai Visit www.datacluster.ai to know **

                        @misc{
                            zebra-crossing-cdnor_dataset,
                            title = { Zebra crossing Dataset },
                            type = { Open Source Dataset },
                            author = { DataCluster Labs },
                            howpublished = { \url{ https://universe.roboflow.com/datacluster-labs-agryi/zebra-crossing-cdnor } },
                            url = { https://universe.roboflow.com/datacluster-labs-agryi/zebra-crossing-cdnor },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-11-15 },
                            }