datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Egg-Instance-Segmentation
Egg Instance Segmentation
This is a dataset with images of eggs that can be used for egg segmentation purposes. The dataset is divided into two classes: white-egg and brown-egg. This is YOLO format dataset.
The training and validation images are in the train and val folders respectively.
The polygon annotations specifying the exact boundaries of eggs are in the related labels folders.
Goal
This dataset is collected to train a YOLO model to segment different types of eggs… See the full description on the dataset page: https://huggingface.co/datasets/industoai/Egg-Instance-Segmentation.Egg-Instance-Segmentation
Egg Instance Segmentation
This is a dataset with images of eggs that can be used for egg segmentation purposes. The dataset is divided into two classes: white-egg and brown-egg. This is YOLO format dataset.
The training and validation images are in the train and val folders respectively.
The polygon annotations specifying the exact boundaries of eggs are in the related labels folders.
Goal
This dataset is collected to train a YOLO model to segment different types of eggs… See the full description on the dataset page: https://huggingface.co/datasets/afshin-dini/Egg-Instance-Segmentation.crack-instance-segmentation
Dataset Labels
['cracks-and-spalling', 'object']
Number of Images
{'valid': 73, 'test': 37, 'train': 323}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("fcakyon/crack-instance-segmentation", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/palmdetection-1cjxw/crack_detection_experiment/dataset/5
Citation… See the full description on the dataset page: https://huggingface.co/datasets/fcakyon/crack-instance-segmentation.automotive-tools-instance-segmentation-demo
🚗 Automotive Hand Tools Instance Segmentation Demo
Real-World Computer Vision Dataset
A real-world Computer Vision dataset focused on automotive workshops, hand tools, and equipment.
Dataset Overview
This dataset contains 1,076 original real-world images photographed in automotive workshops and related environments.
All images were personally captured by the dataset creator using an iPhone. The dataset contains no AI-generated or web-scraped… See the full description on the dataset page: https://huggingface.co/datasets/Katteryna/automotive-tools-instance-segmentation-demo.cmu_panoptic_dataset_instance_segmentation_mask
CMU Panoptic person instance masks (SAM 3.1 pseudo-labels)
TODO before making this repo public: confirm permission from the CMU Panoptic
Studio organisers. Until then the repo must stay gated and private. See
LICENSE_NOTICE.md.
Per-person instance segmentation masks for the CMU Panoptic Studio dataset, generated
with SAM 3.1 (facebook/sam3.1 @ daa63191845a41281374e725f4c9e51c7a824460) and aligned to the
dataset's own 3D skeletons: masks and pose share the same person id across… See the full description on the dataset page: https://huggingface.co/datasets/EpicPinkPenguin/cmu_panoptic_dataset_instance_segmentation_mask.Egg-Instance-Segmentation
Egg Instance Segmentation
This is a dataset with images of eggs that can be used for egg segmentation purposes. The dataset is divided into two classes: white-egg and brown-egg. This is YOLO format dataset.
The training and validation images are in the train and val folders respectively.
The polygon annotations specifying the exact boundaries of eggs are in the related labels folders.
Goal
This dataset is collected to train a YOLO model to segment different types of eggs… See the full description on the dataset page: https://huggingface.co/datasets/ATUMUNMOON/Egg-Instance-Segmentation.