Dataset Versions

Try Pre-Trained Model

lessdata_CCUM_3

lessdata_CCUM_2

lessdata_FCUM_3

lessdata_FCUM_2

lessdata_mosaic

lessdata_cutout

lessdata_blur2px

lessdata_rotation

baseline_lessdata

v4

lessdata_rotation

Generated on Jul 1, 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.

304 Total Images

View All Images

Dataset Split

Train Set 82%

250Images

Valid Set 12%

36Images

Test Set 6%

18Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 2

Rotation: Between -15° and +15°

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