datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.yolo-rubber-ducks
Rubber Duck Detection Dataset
Overview
This dataset contains 192 annotated images of rubber ducks, specifically curated for object detection tasks. It was used for experimentation related to the YOLOv8n Rubber Duck Detector model.
NOTE: I DO NOT RECOMMEND USING THIS DATASET AT THIS TIME. There is an open and ongoing discussion around the use of the datasets that were combined for this.See related licensing discussion on the forum
Dataset Description… See the full description on the dataset page: https://huggingface.co/datasets/phrogzx/yolo-rubber-ducks.yolo-annotated-image-obj-detectionyolo-emotionsA merged emotions dataset was created using a highly curated subset of ExpW, FER2013 (enhanced with FER2013+), AffectNet (6 emotions), and RAF-DB in YOLO format, totaling approximately 155K samples. A YOLOv11-x model, fine-tuned on the WiderFace dataset for the bounding boxes, was used. The distribution is as follows:
TRAIN Set Class Distribution:
Class 0 (Angry): 8511 (6.84%)
Class 1 (Disgust): 6307 (5.07%)
Class 2 (Fear): 4249 (3.41%)
Class 3 (Happy): 37714 (30.30%)
Class 4… See the full description on the dataset page: https://huggingface.co/datasets/AdamCodd/yolo-emotions.