MIT River Herring 2 Dataset

Try Pre-Trained Model

2023-06-30 7:37am

v40

a year ago

v38

2023-06-28 11:43am

Generated on Jun 28, 2023

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Popular Download Formats

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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3178 Total Images

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Dataset Split

Train Set 85%

2717Images

Valid Set 6%

194Images

Test Set 8%

267Images

Preprocessing

Auto-Orient: Applied

Resize: Fit within 320x240

Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 2

Blur: Up to 4px

Bounding Box: Brightness: Between -25% and +0%

Bounding Box: Noise: Up to 5% of pixels

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