datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
comprehensive-car-damage
Car Front and Rear Damage Detection Dataset
Dataset Summary
This dataset is designed for training and evaluating machine learning models for car damage detection, specifically focusing on front and rear vehicle damages.
It includes high-quality labeled images categorized into six distinct classes:
R_Normal: Rear view of undamaged cars
R_Crushed: Rear view of cars with crushed damage
R_Breakage: Rear view of cars with visible breakage
F_Normal: Front view of… See the full description on the dataset page: https://huggingface.co/datasets/DrBimmer/comprehensive-car-damage.comprehensive-car-damage
Car Front and Rear Damage Detection Dataset
Dataset Summary
This dataset is designed for training and evaluating machine learning models for car damage detection, specifically focusing on front and rear vehicle damages.
It includes high-quality labeled images categorized into six distinct classes:
R_Normal: Rear view of undamaged cars
R_Crushed: Rear view of cars with crushed damage
R_Breakage: Rear view of cars with visible breakage
F_Normal: Front view of… See the full description on the dataset page: https://huggingface.co/datasets/SaiVaibhavS/comprehensive-car-damage.Comprehensive_VQA_MMEEvery item has 2 T/F questions (one True and one False) - only if these two are both correct, acc_score += 1.
Here is the function that you can use:
from sklearn.metrics import accuracy_score, precision_score, recall_score, confusion_matrix
def process_result(preds, gts):
"""
This func. is working for only one task (items with same labels)
"""
cnt = 0
acc_plus_correct_num = 0
for pred, gt in zip(preds, gts):
if pred == gt:
cnt += 1
if cnt == 2:… See the full description on the dataset page: https://huggingface.co/datasets/Holmes377/Comprehensive_VQA_MME.turkish-comprehensive-movie-series-dataset
Beyazperde Film & Series Dataset
This dataset contains a comprehensive collection of Turkish films and TV series from Beyazperde.com, including detailed information about movies, series, cast, reviews, and ratings.
Dataset Summary
Total Movies: 27,227
Total Series: 11,240
Total Entries: 38,467
File Size: ~222 MB
Format: JSONL (JSON Lines)
Language: Turkish
Source: Beyazperde.com
Data Structure
Each line in the JSONL file contains a JSON object… See the full description on the dataset page: https://huggingface.co/datasets/pkchwy/turkish-comprehensive-movie-series-dataset.comprehensive-765-annotatedcomprehensive-car-damage
Car Front and Rear Damage Detection Dataset
Dataset Summary
This dataset is designed for training and evaluating machine learning models for car damage detection, specifically focusing on front and rear vehicle damages.
It includes high-quality labeled images categorized into six distinct classes:
R_Normal: Rear view of undamaged cars
R_Crushed: Rear view of cars with crushed damage
R_Breakage: Rear view of cars with visible breakage
F_Normal: Front view of… See the full description on the dataset page: https://huggingface.co/datasets/muhammadshahmirzaman377/comprehensive-car-damage.comprehensive-765-annotated_modified