datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
od-syn-page-annotations-com
📦 Dhivehi Synthetic Document Layout + Textline Dataset
This dataset contains synthetically generated image-document pairs with detailed layout annotations and ground-truth Dhivehi text extractions.It’s designed for document layout analysis, visual document understanding, OCR fine-tuning, and related tasks specifically for Dhivehi script.
Note: this version image are compressed.
Raw version 📁 Repository: Hugging Face Datasets
📋 Dataset Summary
Total Examples: ~58… See the full description on the dataset page: https://huggingface.co/datasets/alakxender/od-syn-page-annotations-com.map-annotation-tool-data
Map Annotation Tool Media
This dataset contains Docling-extracted figure crops grouped by source PDF. It is the
media input for map-annotation-tool; human annotations are maintained separately in
the application repository and submitted through pull requests.
Contents
media/figures/brgm-v1/: 1,512 figures from the earlier BRGM parsing batch,
of which 156 had legacy annotations at migration time.
media/figures/brgm-v2/: 6,046 figures from the newer BRGM parsing… See the full description on the dataset page: https://huggingface.co/datasets/marijanic/map-annotation-tool-data.toy-car-annotation-YOLOHey everyone,
In my final year project, I created Smart Traffic Management System.The project was to manage traffic lights' delays based on the number of vehicles on road.I made everything worked using Raspberry Pi and pre-recorded videos but it was a "final year project", it was needed to be tested by changing videos frequently which was a kind of hustle. Collecting tons of videos and loading them in Pi was not too hard but it would have cost time, by every time changing names of videos in… See the full description on the dataset page: https://huggingface.co/datasets/tubasid/toy-car-annotation-YOLO.ImageIn_annotations_resized_images
Dataset Card for ImageIn_annotations_resized_images
More Information needed
ImageIn_annotationsInitial annotated dataset derived from ImageIN/IA_unlabelled
birdlense-annotations
BirdLense Annotations
Dataset of bird annotations from feeders for the BirdLense Hub project — a bird feeder monitoring system with detection (YOLO, BirdNET).
Description
Images of birds and squirrels captured by BirdLense cameras at feeders. Annotations in YOLO format (bounding boxes) for training and fine-tuning detection models. Data is collected by community members through confirming and correcting automatic detections.
Dataset Structure
train/
images/… See the full description on the dataset page: https://huggingface.co/datasets/gfermoto/birdlense-annotations.Agricultural-Pest-Disease-Image-Annotation-Bounding-Box-Polygon-Detection
Agricultural Pest & Disease Image Annotation (Bounding Box/Polygon Detection)
For intelligent pest and disease recognition in the agriculture and livestock industry, this dataset provides target region annotations on raw plant/disease images. Annotation results support both bounding boxes and polygon shapes, enabling models to learn object locations and fine-grained contours. It covers common pest/disease targets and supplies strong supervision for detection and segmentation… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Agricultural-Pest-Disease-Image-Annotation-Bounding-Box-Polygon-Detection.INVOICE_ANNOTATION_V1INVOICE_ANNOTATION_V2scent-engine-annotations
ScentEngine — Universal Training Annotations
Two-stage Gemma 4 labels (E4B primary, 31B verifier for conf ∈ [0.4, 0.7])
over public game screenshots. Each row maps an image to 6 PWM values
(0–100) in locked channel order: Flora · Aqua · Earth · Pyric · Ozone · Civic.
Files
File
Purpose
public_games_final.jsonl
All accepted labels (quarantine excluded)
universal_train.jsonl
90% split for training the universal head
universal_val.jsonl
10% split for… See the full description on the dataset page: https://huggingface.co/datasets/Dennishuang85/scent-engine-annotations.