With Mosaic Augment

## Overview

With Mosaic Augment is a dataset for instance segmentation tasks - it contains Objects IAHj annotations for 1,680 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Is Augment

## Overview

Is Augment is a dataset for instance segmentation tasks - it contains Objects annotations for 1,352 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Augmentations

## Overview

Augmentations is a dataset for instance segmentation tasks - it contains Defects annotations for 3,600 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Fine_tune Augment

## Overview

Fine_tune Augment is a dataset for instance segmentation tasks - it contains Cars annotations for 560 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).

Overview

This dataset is derived from the [Cell Counting v5 dataset on Roboflow] (https://universe.roboflow.com/cell-counting-hapu2/cell-counting-so7h7 ).
The original dataset was provided in YOLOv8 object detection format.
We created binary masks suitable for UNet-based semantic segmentation tasks.

Additionally, we generated augmented images to increase dataset variability.

Dataset Composition

• Train/Valid/Test Splits
  Each split contains:

  • images/: Source images
  • labels/: YOLO annotation files (kept for reference)
  • masks_binary/: Binary masks for semantic segmentation

• Augmented Images

  • Directory: aug_inference_only/images/
  • Contains 105 augmented images generated from the original 35 images
  • No masks or labels are provided for these augmentations
  • Intended for inference/visualization only (not for training or evaluation)

Data Augmentation

Each of the 35 original images was augmented with 3 additional variations, resulting in 105 augmented images.

Augmentation methods include:
- Random rotation (−90° to 90°)
- Flipping (horizontal, vertical, both)
- Shifting and scaling
- Brightness/contrast adjustment
- Gaussian noise injection

Source

• Base dataset: Roboflow Cell Counting Dataset

License

CC BY 4.0 – This dataset can be shared and adapted with appropriate attribution.

YOLO V11 (Instance Segmentation) (increase) (2025.03)

## Overview

YOLO V11 (Instance Segmentation) (increase) (2025.03) is a dataset for instance segmentation tasks - it contains Cancer Cells YHMV 9vVp annotations for 8,801 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This article utilizes image segmentation methods in computer vision to create a high-quality multi-scale micro/nanofiber dataset. The YOLOv8-FD algorithm based on small object detection improvement is used to automatically detect the diameter of micro/nanofibers. The system can achieve measurement and automated preparation for micro/nano fiber with a diameter of 462 nm − 125 μm within an error of 2.95%, and with the increase of fiber diameter, the error gradually decreases. The optical imaging resolution of a single pixel in the system is 65.97 nm, and the average detection time is 9.6 ms. This work is suitable for high-precision real-time measurement and automatic precise preparation of micro/nano fibers. Figure 1 shows the network structure of micro/nanofiber diameter detection based on deep learning. Figure 2 shows the automatic preparation system of micro/nanofiber based on deep learning. Figure 3 shows the original image of Loss and mAP changing with epoch during the training process, where the opju file can be opened using Origin software. Figure 4 shows the visualization and results of the deep learning model. Figure 5 shows the comparison of the segmentation results of the original YOLOv8 and YOLOv8-FD micro/nano fiber images. Figure 6 shows the AFM scanning image of the micro/nano fiber. The ibw file can be opened using Gwyddion.

Coco Augmented Seg 2

## Overview

Coco Augmented Seg 2 is a dataset for instance segmentation tasks - it contains Parking Space T5uH annotations for 769 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

Seaming Bag 03 04 25 Mark 3 No Augment

## Overview

Seaming Bag 03 04 25 Mark 3 No Augment is a dataset for instance segmentation tasks - it contains Bag Defect EMpu 3KfW annotations for 230 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Simu Raw Augmented

## Overview

Simu Raw Augmented is a dataset for instance segmentation tasks - it contains Delamination GXCp annotations for 11,605 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Buildings Augmented

## Overview

Buildings Augmented is a dataset for instance segmentation tasks - it contains Buildings 7QcZ annotations for 2,076 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).

TOMATO AUGMENTED DIVIDED

## Overview

TOMATO AUGMENTED DIVIDED is a dataset for instance segmentation tasks - it contains Noathing annotations for 986 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Skid Marks Augmented

## Overview

Skid Marks Augmented is a dataset for instance segmentation tasks - it contains Skidmarks annotations for 925 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Cnc_augment

## Overview

Cnc_augment is a dataset for instance segmentation tasks - it contains Black Or Clack Or Pinhole annotations for 272 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Seg_branches_augment

## Overview

Seg_branches_augment is a dataset for instance segmentation tasks - it contains Adffs annotations for 269 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Augmented_stratified_dataset 2

## Overview

Augmented_stratified_dataset 2 is a dataset for instance segmentation tasks - it contains 2 3 4 5 6 7 Oz7d annotations for 218 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Instance Seg Non Augmented Nc3

## Overview

Instance Seg  Non Augmented Nc3 is a dataset for instance segmentation tasks - it contains Major Crack Minor Crack Broken IzgD annotations for 465 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Thick

## Overview

Thick is a dataset for instance segmentation tasks - it contains Abc1 annotations for 473 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Here are a few use cases for this project:

1. Cultural Heritage Preservation: The model could be used by museums or cultural heritage organizations to categorize and identify specific objects in their collections, which can facilitate their sorting, identification, and preservation efforts. It can also help in creating interactive exhibits where visitors can scan an object and quickly get information about it.

2. Educational Applications: In music and art education, this model can be used to create an interactive learning experience. Students could use an application to identify and learn more about different traditional Vietnamese instruments or other cultural objects, their history, how they are used, and their significance in the culture.

3. E-commerce Platforms: For online platforms selling cultural objects or musical instruments, this model could be used to automatically identify and categorize items in images uploaded by sellers, improving the accuracy of product tags and making the shopping experience more efficient for buyers.

4. Augmented Reality Experiences: This model could be leveraged to create augmented reality apps that can identify Vietnamese cultural artifacts when pointed at them, providing users with a comprehensive understanding of the object, its history, and cultural significance.

5. Social Media Platforms: On platforms like Instagram, users can use this model to identify the traditional cultural objects and musical instruments in their pictures, automatically generating accurate tags and improving the visibility and accuracy of cultural content.

Training_set_weeks_1_2_3_augmented

## Overview

Training_set_weeks_1_2_3_augmented is a dataset for instance segmentation tasks - it contains Level1 BQMg Level2 Level3 Level4 Level5 JXav I8ER Level2 Level3 Level4 Level5 DB2W 8Gqu Ru0b annotations for 853 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).