Dataset Versions

Try Pre-Trained Model

2024-03-18 12:53am

v60

a year ago

v11

2024-03-13 11:43pm

Generated on Mar 13, 2024

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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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31 Total Images

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Dataset Split

Train Set 97%

30Images

Valid Set 3%

1Images

Test Set %

0Images

Preprocessing

Auto-Orient: Applied

Static Crop: 36-71% Horizontal Region, 32-67% Vertical Region

Dynamic Crop: Class: Egg Chicken

Resize: Stretch to 640x640

Auto-Adjust Contrast: Using Adaptive Equalization

Grayscale: Applied

Augmentations

Outputs per training example: 3

Flip: Horizontal

90° Rotate: Clockwise, Counter-Clockwise

Rotation: Between -15° and +15°

Shear: ±10° Horizontal, ±10° Vertical

Grayscale: Apply to 15% of images

Brightness: Between -15% and +15%

Noise: Up to 0.1% of pixels

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Dataset Versions

2024-03-13 11:43pm

Popular Download Formats

31 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects