Kaggle Data Hub – Telegram
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Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects.

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Car Detection and Tracking Dataset

499 Images of Car Dataset with Text Annotation

About Dataset

This dataset contains 499 images, each with bounding box annotations for cars.
The annotations are provided in the YOLO text format, which includes class labels and bounding box coordinates.
This dataset is useful for object detection tasks such as vehicle recognition and traffic analysis.
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OpenR1-Math-220k

OpenR1-Math-220k is a large-scale dataset for mathematical reasoning.

Dataset denoscription

OpenR1-Math-220k is a large-scale dataset for mathematical reasoning. It consists of 220k math problems with two to four reasoning traces generated by DeepSeek R1 for problems from NuminaMath 1.5. The traces were verified using Math Verify for most samples and Llama-3.3-70B-Instruct as a judge for 12% of the samples, and each problem contains at least one reasoning trace with a correct answer.

The dataset consists of two splits:

default with 94k problems and that achieves the best performance after SFT.
extended with 131k samples where we add data sources like cn_k12. This provides more reasoning traces, but we found that the performance after SFT to be lower than the default subset, likely because the questions from cn_k12 are less difficult than other sources.
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Human Images Dataset - Men and Women

Comprehensive Collection of Human Images for Gender Recognition and Identificati
Human Images Dataset - Men and Wome

Dataset Denoscription:
This dataset includes two folders of images of people. One folder contains images of men, and the other contains images of women. The images include faces, upper bodies, and full bodies. This dataset can be used for various projects like gender recognition, human identification, and image classification.

Use Cases:
Gender Recognition: For algorithms that recognize gender based on images.
Human Identification: To improve models for identifying humans in images and videos.
Image Classification: For classifying images into categories of men and women.
Fabric Defects Dataset

Defect detection dataset

The data collected for this project were from the following sources:

Fabric Defect Dataset from Kaggle (Ranathunga, 2020)
Fabric Stain Dataset from Kaggle (Pathirana, 2020)
Aitex Fabric Image Database (Silvestre-Blanes et al., 2019)
Dataset from the Author of the Literature Review Paper (Peng, 2020): Only the non-defect images from the dataset were used.
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🧠 Bain MRI Dataset 5,000,000+ studies + reports

MRI scans of human brains with medical reports

This dataset consists of high-quality #MRI scans of human brains, accompanied by medical reports. It is designed for tasks such as detection, classification, and segmentation of brain abnormalities. The dataset includes a variety of brain scans with different frames and studies, along with clinical information for each patient.

The dataset includes:
structured by series each serie more than 50 frame
Total: 5,000,000+ high-quality DICOM (DCM) frames

Medical reports provide the following details:

Type of study
MRI machine specifications
Patient demographics: Age, sex, race
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Prostate Cancer MRI

Prostate Cancer Imaging from the National Cancer Institute

About Dataset
Dataset Information

Image Size (GB): 3.2

Modalities: MR (with some PET/CT)

Number of Images: 22,036

Number of Participants: 26

Number of Series: 182

Number of Studies: 26
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