ObjectDetection
object_detection_datasetobject_detectionobject-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-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.