Dataset Versions

2024-07-19 9:53am

Generated on Jul 19, 2024

Download Dataset

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.

Other Formats

Choose another format.

5476 Total Images

View All Images

Dataset Split

Train Set 88%

4794Images

Valid Set 5%

293Images

Test Set 7%

389Images

Preprocessing

Auto-Orient: Applied

Isolate Objects: Applied

Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 2

Grayscale: Apply to 25% of images

Saturation: Between -25% and +25%

Brightness: Between -25% and +25%

Exposure: Between -12% and +12%

Bounding Box: Brightness: Between 0% and +15%

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

Similar Projects

Object Detection Model snap

cow-label-a04-activity-clone (All images have 3 boxes) cowlabel

1.1k images 1 model

Object Detection Model snap

cow model cowlabela02

750 images 2 models

Object Detection Model snap

cow-label-a04-activity cowlabel

330 images 1 model

Object Detection Model snap yolov8 yolov8s

Cow Behavior Tracking Cow Detection Identifier

908 images 3 models

Object Detection Model snap

MOATH A04 TRIAL cowlabel

1k images 1 model