Datasets

A versatile collection of high-quality datasets designed to support a wide range of machine learning development tasks, from training and validation to benchmarking across various domains and methods.

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This dataset contains white and brown eggs and their annotated pixels which can be used for training egg segmentation model.
Task: Classification, Segmentation, Counting
Data Type: Image
No. Data: 52 images, 423 samples
No. Classes: 2

Subject area: Food Industry

Description: This dataset contains high resolution images of white and brown eggs. Egg labels and their locations in each image is provided in text files. The images and their labels are provided in YOLO format that can be used easily for training segmentation and classification models.

Dataset: Link

Purpose: Can be used for developing egg segmentation, classification, and detection models. Moreover, sizes of eggs can be estimated properly which can be used in sorting lines.

Resolution: 3024x4032

No. Classes: 2(white/brown eggs)

Samples: Train:393 egg samples (50 images), Validation: 30 egg samples (2 images)

Egg Instance segmentation Dataset Example
This dataset contains white and brown eggs and their annotated bounding boxes which can be used for training egg detection and classification models.
Task: Classification, Object Detection, Counting
Data Type: Image
No. Data: 52 images, 423 samples
No. Classes: 2

Subject area: Food Industry

Description: This dataset contains high resolution images of white and brown eggs. Egg labels and their locations in each image is provided in text files. The images and their labels are provided in YOLO format that can be easily used for training detection and classification models.

Dataset: Link

Purpose: Can be used for developing egg detector, classification, and counter models.

Resolution: 3024x4032

No. Classes: 2(white/brown eggs)

Samples: Train:393 egg samples (50 images), Validation: 30 egg samples (2 images)

Egg Detection Dataset Example