datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
game-assets-samplers
CyberMax game asset samplers (free)
Use this dataset
from datasets import load_dataset
ds = load_dataset("CyberMax-tools/game-assets-samplers", split="train")
df = ds.to_pandas()
print(df.shape)
df.head()
Want the full packs? Every sampler below is a small slice of a paid CyberMax pack with a live browser demo.
All 8 packs together: CyberMax Game Assets Mega Bundle — $37 · hub: https://cybermax.cybermax-tools.workers.dev/game-assets/?s=hf-ga
Original game… See the full description on the dataset page: https://huggingface.co/datasets/CyberMax-tools/game-assets-samplers.mechanical-tools-dataset
Mechanical Tools Image Dataset
This repository contains a dataset of 17,763 images across 8 mechanical tool categories (plus pebbles and general test data), with standardized lowercase category structures.
Dataset Structure
The dataset is organized into consolidated tool category folders. To ensure upload reliability and prevent Hugging Face timeout errors, large categories are chunked into smaller parts (part_1 and part_2 containing up to 2,500 images each):… See the full description on the dataset page: https://huggingface.co/datasets/shravya11/mechanical-tools-dataset.tool-safety-dataset
Tool Safety Dataset
Dataset Description
The Tool Safety Dataset is a specialized collection of tool images with detailed safety and usage information. It combines visual data with comprehensive metadata about various hand tools, making it valuable for both computer vision tasks and safety training applications.
Dataset Summary
Type: Image dataset with bounding boxes and detailed tool information
Size: Multiple splits (train/test/validation)
Format: Images with… See the full description on the dataset page: https://huggingface.co/datasets/akameswa/tool-safety-dataset.Beauty-Aid-Tools-Image-Classification-Dataset
Beauty Aid Tools Image Classification Dataset
With the rapid development of the retail e-commerce industry, the market demand for beauty aid tools is continuously increasing. However, current image classification technologies face many challenges, such as diverse product forms and complex usage scenarios, leading to low accuracy and efficiency in product recognition. Existing solutions often rely on manual labeling, which involves a large amount of work and is difficult to maintain.… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Beauty-Aid-Tools-Image-Classification-Dataset.