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Train-Test-Split for Freiburg Dataset in YOLOv7 Format

Object Detection

Dataset Versions

Try Pre-Trained Model

v12

2023-07-20 12:07pm

Generated on Jul 20, 2023

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Popular Download Formats

YOLOv11

TXT annotations and YAML config used with YOLOv11.

YOLOv9

TXT annotations and YAML config used with YOLOv9.

YOLOv8

TXT annotations and YAML config used with YOLOv8.

YOLOv5

TXT annotations and YAML config used with YOLOv5.

YOLOv7

TXT annotations and YAML config used with YOLOv7.

COCO JSON

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

YOLO Darknet

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

Pascal VOC XML

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

TFRecord

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

PaliGemma

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

CreateML JSON

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

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8879 Total Images

View All Images

Dataset Split

Train Set 80%

7107Images

Valid Set 10%

884Images

Test Set 10%

888Images

Preprocessing

Resize: Fill (with center crop) in 80x80

Grayscale: Applied

Augmentations

No augmentations were applied.

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