⭐️ Special Offer for Researchers and Data Enthusiasts! ⭐️

We have prepared unique and powerful datasets in the areas of Crime, Automobiles, and TV Series. These datasets, due to their rarity and specificity, can serve as valuable tools for deep analysis and new research.

🚀 If you’re seeking fresh insights and information, don’t miss this opportunity! ✈️

The relevant files will be released soon. Stay tuned for more details and to receive them.

This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣  Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

✅ https://t.me/addlist/8_rRW2scgfRhOTc0

✅ https://t.me/codeprogrammer

Datasets Name: Leukemia Classification

Source: Kaggle

Description:
In total there are 15,135 images from 118 patients with two labelled classes: (Normal cell - Leukemia blast)

https://t.me/datasets1 🧠

Datasets Name: Leukemia Classification

https://t.me/datasets1 🧠

Datasets Name: Sign Language Detection using Images

Source: Kaggle

Description:
The following dataset is a collection of different signs used for communication. It consists of 35 directories each having 1200 samples.
This dataset is useful for learning for beginners to understand Deep Learning, CNNs and Computer Vision by building a model to detect the sign language being used.

https://t.me/datasets1 ❤️

Datasets Name: Sign Language Detection using Images

https://t.me/datasets1 🧠

Datasets Name: Football Player Detection YOLOv8

Source: Kaggle

Description:
The dataset is organized into two main directories:

Images: This directory contains a diverse set of images extracted from various sports videos. The images capture different scenarios, including close-ups, wide-angle shots, different lighting conditions, and varying levels of player density on the field. The images are saved in .jpg format and are named sequentially for easy reference.

Labels: Corresponding to each image, this directory includes annotation files in YOLOv8 format. These annotations provide the bounding box coordinates for each detected player along with their class labels. The label files are in .txt format, named identically to their corresponding image files to ensure seamless pairing.

https://t.me/datasets1 ❤️

Datasets Name: Football Player Detection YOLOv8

https://t.me/datasets1 ❤️