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.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.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.forklift-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.X4_SWIR_Industrial_Foreign_Object_Detection_Bedding
Hyperspectral Foreign-Object Detection in Bedding — Full Dataset (VIS + SWIR)
A 6-band VIS+SWIR hyperspectral dataset for industrial foreign-object
detection on a bedding substrate (a tray of wood-shaving / sawdust animal
bedding). Captured with a Cubert Ultris X4 + SWIR rig — 6 spectral bands
at 450 / 550 / 625 nm (VIS) and 1050 / 1200 / 1450 nm (SWIR), 2400 × 4900
pixels per frame. 252 frames (193 train · 59 val), 51 frames carry
pixel-level polygon… See the full description on the dataset page: https://huggingface.co/datasets/cubert-gmbh/X4_SWIR_Industrial_Foreign_Object_Detection_Bedding.aerial-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.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.object_detection_datasetfashion-object-detectionblood-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.dense_object_detection_FiftyOne
Dense Object Detection Dataset (FiftyOne Format)
Dense Object Detection Dataset for open-world/open-vocabulary object detection models like Grounding DINO, OWL-ViT, and GLIP.
Statistics
Images: 8,001
Annotations: 344,079
Categories: 1,038
Loading with FiftyOne
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
dataset = fouh.load_from_hub("shubh303/dense_object_detection_voxel51")
# Launch the app
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/shubh303/dense_object_detection_FiftyOne.traffic-accident-cctv-object-detection
CCTV Traffic Accident Object Detection Dataset
Overview
This dataset contains low-resolution CCTV traffic surveillance images annotated with bounding boxes for traffic accident localization.Each image includes regions corresponding to:
Accident: vehicles or regions directly involved in a collision or traffic incident
Non-accident: visible vehicles or regions not involved in the incident
The dataset is designed to support fine-grained object detection under real-world… See the full description on the dataset page: https://huggingface.co/datasets/justjuu/traffic-accident-cctv-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.fashion-object-detection-v2football-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.Pizza-Toppings-Object-DetectionKitti-Object-Detection-Evaluation-2012object_detection_analytic_imagecar-object-detectionbarcode-object-detection
Dataset Card
🚀 Uploaded using hubify - Convert object detection datasets to HuggingFace format
This dataset contains object detection annotations converted to HuggingFace image dataset format.
📊 Dataset Details
🏷️ Number of classes: 1
📁 Splits: train, test, validation
🖼️ Format: Images with bounding box annotations
🎯 Classes
The dataset contains the following 1 classes:
barcode
💻 Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/benjamintli/barcode-object-detection.Hanafuda-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.pcb-object-detection-dataset
PCB Object Detection Dataset
A custom dataset for detecting 21 types of PCB (Printed Circuit Board) components using YOLO object detection.
Dataset Description
This dataset contains annotated images of PCB components for training YOLO-based object detection models. Each image contains multiple PCB components annotated with bounding boxes in YOLO format.
Classes (21)
#
Class
Description
0
battery
Battery holders and cells
1
button
Push… See the full description on the dataset page: https://huggingface.co/datasets/Arshia82sbn/pcb-object-detection-dataset.fashion-object-detectionopen-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.Chest_Xray_N_Object_Detectionbrain-tumor-object-detection
Dataset Card for "brain-tumor-object-detection"
More Information needed
object-detection-examples
Dataset Card for CPPE - 5
Dataset Summary
CPPE - 5 (Medical Personal Protective Equipment) is a new challenging dataset with the goal to allow the study of subordinate categorization of medical personal protective equipments, which is not possible with other popular data sets that focus on broad level categories.
Some features of this dataset are:
high quality images and annotations (~4.6 bounding boxes per image)
real-life images unlike any current such dataset
majority… See the full description on the dataset page: https://huggingface.co/datasets/Charles95/object-detection-examples.object_detection_bbox_merged_coco_food