Dataset Versions

2025-01-16 12:32pm

2024-10-21 4:59pm

2024-10-02 1:13pm

2024-10-02 8:25am

2024-04-29 4:37pm

2024-04-25 10:53am

2024-04-24 11:12am

2024-04-24 9:36am

2024-04-15 4:05pm

2024-04-15 4:04pm

2024-04-15 2:11pm

2024-04-15 2:09pm

2024-04-15 2:06pm

2024-04-15 12:05pm

2024-04-15 11:47am

2024-04-15 11:46am

2024-04-05 9:22am

2024-04-04 2:13pm

2024-04-01 3:58pm

2024-03-13 10:21am

2024-03-12 1:16pm

2024-03-01 11:25am

2024-02-29 5:11pm

2024-02-29 9:07am

2024-02-27 5:56pm

2024-02-27 5:18pm

2024-02-27 2:27pm

v3

2024-02-27 5:56pm

Generated on Feb 27, 2024

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Popular Download Formats

TXT annotations and YAML config used with YOLOv11.

TXT annotations and YAML config used with YOLOv9.

TXT annotations and YAML config used with YOLOv8.

TXT annotations and YAML config used with YOLOv5.

TXT annotations and YAML config used with YOLOv7.

COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.

Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.

Common XML annotation format for local data munging (pioneered by ImageNet).

TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.

PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.

CreateML JSON format is used with Apple's CreateML and Turi Create tools.

Choose another format.

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Preprocessing

Auto-Orient: Applied

Resize: Fit within 640x640

Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3

Rotation: Between -5° and +5°

Saturation: Between -5% and +5%

Brightness: Between -5% and +5%

Blur: Up to 2.5px

Noise: Up to 0.54% of pixels

Bounding Box: Noise: Up to 0.53% of pixels

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