datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
welding-defect-object-detection
Welding Defect Object Detection
2,028 annotated images of welds for defect detection, in both YOLO and COCO
formats. Three classes:
id (YOLO / COCO)
name
0 / 1
Bad Weld
1 / 2
Good Weld
2 / 3
Defect
Splits
split
images
annotations
train
1,619
4,583
valid
283
802
test
126
301
Layout
├── data.yaml # YOLO class names + split paths
├── train|valid|test/
│ ├── images/ # .jpg
│ └── labels/… See the full description on the dataset page: https://huggingface.co/datasets/rikkarth/welding-defect-object-detection.license-plate-object-detection
Dataset Labels
['license_plate']
Number of Images
{'train': 6176, 'valid': 1765, 'test': 882}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/license-plate-object-detection", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/augmented-startups/vehicle-registration-plates-trudk/dataset/1
Citation… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/license-plate-object-detection.construction-safety-object-detection
Dataset Labels
['barricade', 'dumpster', 'excavators', 'gloves', 'hardhat', 'mask', 'no-hardhat', 'no-mask', 'no-safety vest', 'person', 'safety net', 'safety shoes', 'safety vest', 'dump truck', 'mini-van', 'truck', 'wheel loader']
Number of Images
{'train': 307, 'valid': 57, 'test': 34}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds =… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/construction-safety-object-detection.Pizza-Toppings-Object-Detectionforklift-object-detection
Dataset Labels
['forklift', 'person']
Number of Images
{'test': 42, 'valid': 84, 'train': 295}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/forklift-object-detection", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/mohamed-traore-2ekkp/forklift-dsitv/dataset/1
Citation
@misc{… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/forklift-object-detection.valorant-object-detection
Dataset Labels
['dropped spike', 'enemy', 'planted spike', 'teammate']
Number of Images
{'valid': 1983, 'train': 6927, 'test': 988}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/valorant-object-detection", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/daniels-magonis-0pjzx/valorant-9ufcp/dataset/3… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/valorant-object-detection.object_detection_datasetaerial-sheep-object-detection
Roboflow Dataset Page
https://universe.roboflow.com/riis/aerial-sheep/dataset/1
Dataset Labels
['sheep']
Citation
@misc{ aerial-sheep_dataset,
title = { Aerial Sheep Dataset },
type = { Open Source Dataset },
author = { Riis },
howpublished = { \\url{ https://universe.roboflow.com/riis/aerial-sheep } },
url = { https://universe.roboflow.com/riis/aerial-sheep },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = {… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/aerial-sheep-object-detection.welding-defect-object-detection
Welding Defect Object Detection
2,028 annotated images of welds for defect detection, in both YOLO and COCO
formats. Three classes:
id (YOLO / COCO)
name
0 / 1
Bad Weld
1 / 2
Good Weld
2 / 3
Defect
Splits
split
images
annotations
train
1,619
4,583
valid
283
802
test
126
301
Layout
├── data.yaml # YOLO class names + split paths
├── train|valid|test/
│ ├── images/ # .jpg
│ └── labels/… See the full description on the dataset page: https://huggingface.co/datasets/l985215117/welding-defect-object-detection.blood-cell-object-detection
Dataset Labels
['platelets', 'rbc', 'wbc']
Number of Images
{'train': 255, 'test': 36, 'valid': 73}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/blood-cell-object-detection", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/team-roboflow/blood-cell-detection-1ekwu/dataset/3
Citation
@misc{… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/blood-cell-object-detection.clash-of-clans-object-detection
Dataset Labels
['ad', 'airsweeper', 'bombtower', 'canon', 'clancastle', 'eagle', 'inferno', 'kingpad', 'mortar', 'queenpad', 'rcpad', 'scattershot', 'th13', 'wardenpad', 'wizztower', 'xbow']
Number of Images
{'train': 88, 'test': 13, 'valid': 24}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/clash-of-clans-object-detection", name="full")
example =… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/clash-of-clans-object-detection.csgo-object-detection
Dataset Labels
['ct', 'cthead', 't', 'thead']
Number of Images
{'train': 3879, 'valid': 383, 'test': 192}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/csgo-object-detection", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/asd-culfr/wlots/dataset/1
Citation
@misc{ wlots_dataset,
title = {… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/csgo-object-detection.Kitti-Object-Detection-Evaluation-2012Hanafuda-Object-Detection
Hanafuda Object Detection Dataset
This repository provides a specialized object detection dataset for Hanafuda (traditional Japanese playing cards). It contains 300 annotated images with a total of 2,232 bounding boxes, formatted for YOLO.
Model & Training Code
The complete source code for training a YOLO model on this dataset, along with inference scripts and utilities, is available on GitHub:
tarumino3/Hanafuda-YOLO
Dataset Characteristics
Unlike synthetic… See the full description on the dataset page: https://huggingface.co/datasets/tarumino3/Hanafuda-Object-Detection.football-object-detection
Roboflow Dataset Page
https://universe.roboflow.com/augmented-startups/football-player-detection-kucab
Citation
@misc{ football-player-detection-kucab_dataset,
title = { Football-Player-Detection Dataset },
type = { Open Source Dataset },
author = { Augmented Startups },
howpublished = { \url{ https://universe.roboflow.com/augmented-startups/football-player-detection-kucab } },
url = {… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/football-object-detection.Annotated_Medical_pill_for_Object_Detectionhome-object-detection-grasping-and-sorting-eval-yolov8-training-4c9a238f-1ff502e5
Small Object Grasping Training Pack
Synthetic training dataset for a robot grasping and pick-and-place of small objects resting on real surfaces (kitchen, entrance, restaurant and art-space settings). Renders at 512x512 with metric depth and per-frame annotations, using each environment's own lighting, for training Contact-GraspNet.
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to… See the full description on the dataset page: https://huggingface.co/datasets/physicl-community/home-object-detection-grasping-and-sorting-eval-yolov8-training-4c9a238f-1ff502e5.red-dot_yolov12n_object_detectionobject_detection_bbox_merged_coco_foodopen-world-dense-object-detection
Open World Dense Object Detection Dataset
A large-scale dataset for open-world object detection containing 8,001 images with 344,079 bounding box annotations across 1,106 categories.
Important: Open-World vs Closed-Set Detection
This dataset is designed for open-world/open-vocabulary object detection models like Grounding DINO, OWL-ViT, and similar text-conditioned detectors.
Why NOT for YOLO, DETR, or Traditional Detectors?
Traditional closed-set object… See the full description on the dataset page: https://huggingface.co/datasets/shubh303/open-world-dense-object-detection.YOLOv8-Object-Detection-02-Dataset
Soup Can Object Detection Dataset Sample
Duality.ai just released a 1000 image dataset used to train a YOLOv8 model for object detection -- and it's 100% free!
Just create an EDU account here.
This HuggingFace dataset is a 20 image and label sample, but you can get the rest at no cost by creating a FalconCloud account. Once you verify your email, the link will redirect you to the dataset page.
Dataset Overview
This dataset consists of high-quality images of soup cans… See the full description on the dataset page: https://huggingface.co/datasets/duality-robotics/YOLOv8-Object-Detection-02-Dataset.YOLOv8-Multiclass-Object-Detection-Dataset
DATASET SAMPLE
Duality.ai just released a 1000 image dataset used to train a YOLOv8 model in multiclass object detection -- and it's 100% free!
Just create an EDU account here.
This HuggingFace dataset is a 20 image and label sample, but you can get the rest at no cost by creating a FalconCloud account. Once you verify your email, the link will redirect you to the dataset page.
What makes this dataset unique, useful, and capable of bridging the Sim2Real gap?
The digital twins are… See the full description on the dataset page: https://huggingface.co/datasets/duality-robotics/YOLOv8-Multiclass-Object-Detection-Dataset.YOLOv8-Multi-Instance-Object-Detection-Dataset
Multi Instance Object Detection Dataset Sample
Duality.ai just released a 1000 image dataset used to train a YOLOv8 model for object detection -- and it's 100% free!
Just create an EDU account here.
This HuggingFace dataset is a 20 image and label sample, but you can get the rest at no cost by creating a FalconCloud account. Once you verify your email, the link will redirect you to the dataset page.
Dataset Overview
This dataset consists of high-quality images of soup… See the full description on the dataset page: https://huggingface.co/datasets/duality-robotics/YOLOv8-Multi-Instance-Object-Detection-Dataset.Chest_Xray_N_Object_Detectionbirds-object-detection-1600x896
Birds Object Detection 1600x896
A single-class bird object-detection dataset prepared for Ultralytics at a
1600 x 896 camera resolution. The dataset uses a deterministic 90% training
and 10% validation split.
Contents
data/yolo_birds_1600x896.tar.gz: complete Ultralytics dataset archive.
manifest.json: archive size, SHA-256 checksum, and dataset metadata.
After extraction, the archive contains data.yaml and matching image and YOLO
label trees:
data.yaml… See the full description on the dataset page: https://huggingface.co/datasets/PBatch23888/birds-object-detection-1600x896.refcoco_object_detectionbrain-tumors-object-detection-datasets
Dataset Card for Dataset Name
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/chanelcolgate/brain-tumors-object-detection-datasets.nutriscore-object-detection
Open Food Facts Nutriscore detection dataset
This dataset was used to train the Nutri-score object detection model running in production at Open Food Facts.
Images were collected from the Open Food Facts database and labeled manually.
Just like the original images, the images in this dataset are licensed under the Creative Commons Attribution Share Alike license (CC-BY-SA 3.0).
Fields
image_id: Unique identifier for the image, generated from the barcode and the image… See the full description on the dataset page: https://huggingface.co/datasets/openfoodfacts/nutriscore-object-detection.object_detectionpaligemma-valorant-object-detection-transformed