datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
object_detection_datasetobject-detection
Object Detection Dataset Scripts
8 scripts to create, convert, review, validate, inspect, diff, and sample object detection datasets on the Hub. Supports 6 bbox formats — no setup required.
Start from nothing: falcon-perception.py generates a first-pass detection dataset for any class you can name, zero-shot, with no labelling and no training. The other six then convert, check, and measure it.
This repository is inspired by panlabel
Quick Start
Convert bounding… See the full description on the dataset page: https://huggingface.co/datasets/uv-scripts/object-detection.object_detection_analytic_imageobject_detection_bbox_merged_coco_foodobject-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_Detectionobject-detection-tutorial
Object Detection Tutorial Dataset
Dataset Description
This dataset contains object detection annotations and predictions used in the cleanlab tutorial: Object Detection.
The dataset demonstrates how to use cleanlab to identify and correct label issues in object detection datasets, where labels consist of bounding boxes around objects in images.
Dataset Summary
Total Examples: 118 images with bounding box annotations
Task: Object detection with bounding boxes… See the full description on the dataset page: https://huggingface.co/datasets/Cleanlab/object-detection-tutorial.object_detectionobject-detections
Car Object Detection
Vehicle object detection results from a segment of a Toyota RAV4 2026 review video, enabling semantic video retrieval of car components.
Dataset Overview
Video Source: YouTube Video YcvECxtXoxQ
Section Processed: Exterior Review (18:39 to 28:00 = 9 min 21 sec)
Total Detections: 1,179
Total Segments: 123
Sampling Rate: 1 frame per second (560 frames)
Files
1. detections.parquet
Frame-level object detections. Each row represents… See the full description on the dataset page: https://huggingface.co/datasets/wdc9645/object-detections.object_detectionobject-detection-bench
Object Detection Bench
This dataset is a customized version of the RealworldQA dataset, specifically tailored for object detection and segmentation benchmarking tasks.
Dataset Description
This benchmark dataset contains real-world images with questions, answers, and custom prompts designed for evaluating object detection and segmentation models. Each sample includes:
Image: Real-world photographs
Question: Original question about the image content
Answer: Ground truth… See the full description on the dataset page: https://huggingface.co/datasets/interfaze-ai/object-detection-bench.object-detection-models-datasetobject_detection
Image-to-Video Semantic Retrieval via Object Detection – Dataset Schema
This repository contains detection and retrieval results for a Toyota RAV4 2026 review video.
Frames were sampled every 5 seconds from the source video.
1. Video Detections
File: video_detections.parquet
Each row corresponds to a single object detection in a sampled video frame.
Schema
Column
Type
Description
video_id
string
YouTube video identifier
frame_index
int
Index of… See the full description on the dataset page: https://huggingface.co/datasets/lin1318/object_detection.object_detectionv2
Object detection
This directory contains concepts and object detections generated from the second keyframe set. The primary artifacts are concepts.jsonl and detections.jsonl; artifact_metadata.jsonl records the input, model, prompt version, subset, and Git lineage.
concepts.jsonl
Each line is one ConceptRecord, a short list of general concepts proposed for one keyframe.
Common fields:
concept_id: stable concept identifier
video_id: source video identifier… See the full description on the dataset page: https://huggingface.co/datasets/egolqa/object_detectionv2.object_detection_nuovoobject_detectionobject_detection_bbox_merged_cocoobject-detection-checkpoint-downloadsobject_detectionHelpingHands_ObjectDetectionobject_detection_datasetDataset has 6 shape:
Circle
Rectangle
Triangle
Trapezoid
Paralellogram
Eliipse
object_detection_bbox_3object_detection_bbox_merged_v7Object-Detection-Datasetobject_detection
Visualization of Object Detection Task Cases Samples
Check dataset samples visualization by viewing Dataset Viewer.
The sampling procedure is guided by the Elo distribution introduced in our method.
Original dataset is validation set of COCO dataset.
samples/origin: 4951/5000
License
This repository is licensed under the Apache License 2.0
object_detectionsobject_detection
Object detection
This directory contains concepts and object detections generated from the original keyframe set. The primary artifacts are concepts.jsonl and detections.jsonl; artifact_metadata.jsonl records the input, model, prompt version, subset, and Git lineage.
concepts.jsonl
Each line is one ConceptRecord, a short list of general concepts proposed for one keyframe.
Common fields:
concept_id: stable concept identifier
video_id: source video identifier… See the full description on the dataset page: https://huggingface.co/datasets/egolqa/object_detection.object_detection_bbox_various_testobject_detection_bbox_multiobject_detection_bbox_merged_coco_strict_selected_3000