PersonCounting Dataset

Try Pre-Trained Model

2023-11-08 5:23pm

v34

a year ago

v23

2023-06-15 4:19pm

Generated on Jun 15, 2023

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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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255 Total Images

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Dataset Split

Train Set 88%

225Images

Valid Set 8%

20Images

Test Set 4%

10Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3

Rotation: Between -10° and +10°

Shear: ±10° Horizontal, ±10° Vertical

Saturation: Between -10% and +10%

Brightness: Between -10% and +10%

Blur: Up to 2px

Noise: Up to 2% of pixels

Bounding Box: Rotation: Between -10° and +10°

Bounding Box: Shear: ±10° Horizontal, ±10° Vertical

Bounding Box: Brightness: Between -10% and +10%

Bounding Box: Blur: Up to 2px

Bounding Box: Noise: Up to 2% of pixels

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