MIT River Herring 2 Dataset

Try Pre-Trained Model

2023-06-30 7:37am

v40

a year ago

v20

2023-06-23 10:10am

Generated on Jun 23, 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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3401 Total Images

View All Images

Dataset Split

Train Set 91%

3096Images

Valid Set 3%

96Images

Test Set 6%

209Images

Preprocessing

Auto-Orient: Applied

Resize: Fit within 480x640

Augmentations

Outputs per training example: 3

Blur: Up to 4px

Noise: Up to 8% of pixels

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

Bounding Box: Blur: Up to 2.5px

Bounding Box: Noise: Up to 5% of pixels

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