datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Ku-Yolo-DataSet
Ku-YOLO Waste Classification Dataset
쓰레기 분류를 위한 YOLO 형식 데이터셋입니다. TACO 데이터셋을 기반으로 재활용품 객체 탐지를 위해 재구성되었습니다.
데이터셋 개요
총 이미지 수: 1,500개
총 어노테이션 수: 4,784개
이미지 형식: JPG
어노테이션 형식: YOLO TXT
클래스 정보
5개 대분류 (labels_5classes)
ID
클래스
영문
어노테이션 수
비율
0
플라스틱
Plastic
1,443
30.16%
1
비닐
Vinyl
845
17.66%
2
캔
Can
552
11.54%
3
유리
Glass
254
5.31%
4
종이
Paper
1,690
35.33%
60개 세부 분류 (labels)
플라스틱 병, 유리병, 음료수 캔, 종이컵, 비닐봉투 등 60개의 세부 카테고리로… See the full description on the dataset page: https://huggingface.co/datasets/hyeon2525/Ku-Yolo-DataSet.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/brainwavecollective/yolo-rubber-ducks.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.