Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Prawit Chumchu"'
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 110887- (2024)
This article describes a dataset comprising 16,426 real-world urban photographs, capturing vehicles, cyclists, motorbikes, and pedestrians across Morning, Evening, and Night scenes. The dataset is valuable for machine learning tasks in traffic analys
Externí odkaz:
https://doaj.org/article/11c5db4378c742419ecd009de762eab4
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 110873- (2024)
The Natural Pothole Dataset within River Environments is an extensive collection of 3992 high-resolution images [1] documenting various natural potholes located in riverine settings. Each image has been rigorously annotated utilizing the YOLO (You On
Externí odkaz:
https://doaj.org/article/bfc0280f93014652b768769296b56783
Autor:
Kailas Patil, Prawit Chumchu
Publikováno v:
Data in Brief, Vol 54, Iss , Pp 110292- (2024)
This dataset presents a comprehensive collection of images representing both dried and live samples from eight distinct Thai cannabis classes. The dataset includes a total of 14,094 images, with images depicting dried and healthy specimens. These ima
Externí odkaz:
https://doaj.org/article/af0685e9b6ef4f2fb4795bbd24c848c5
Publikováno v:
Data in Brief, Vol 53, Iss , Pp 110268- (2024)
Sugarcane, a vital crop for the global sugar industry, is susceptible to various diseases that significantly impact its yield and quality. Accurate and timely disease detection is crucial for effective management and prevention strategies. We persent
Externí odkaz:
https://doaj.org/article/dfa5783834594c91a9c87772bfebcc1a
Publikováno v:
Data in Brief, Vol 53, Iss , Pp 110104- (2024)
This article introduces a dataset of 10,042 Lemongrass (Cymbopogon citratus) leaf images, captured with high quality camera of a mobile phone in real-world conditions. The dataset classifies leaves as “Dried,” “Healthy,” or “Unhealthy,” m
Externí odkaz:
https://doaj.org/article/2876d9cb80fd4dad98807e4cc7cccc27
Autor:
Yogesh Suryawanshi, Vidula Meshram, Kailas Patil, Michael Testani, Prawit Chumchu, Anmol Sharma
Publikováno v:
Data in Brief, Vol 53, Iss , Pp 110098- (2024)
In an increasingly digital world, the significance of creating a Comprehensive Image Dataset of Contemporary Indian Coins (CIDCIC) cannot be overstated. This research presents a dataset comprising 6,672 images of 53 different classes of Indian coins,
Externí odkaz:
https://doaj.org/article/2536ff8955054e2c918971e431db1716
Publikováno v:
Data in Brief, Vol 53, Iss , Pp 110078- (2024)
The Custard Apple, known as sugar apple or sweetsop, spans diverse regions like India, Portugal, Thailand, Cuba, and the West Indies. This dataset holds 8226 images of Custard Apple (Annona squamosa) fruit and leaf diseases, categorized into six type
Externí odkaz:
https://doaj.org/article/f5e875a64940466a9a2c82e941f89bf1
Publikováno v:
Data in Brief, Vol 52, Iss , Pp 109929- (2024)
The Plumbago Zeylanica (Chitrak) Leaf Image Dataset is a valuable resource for botanical studies, herbal medicine research, and environmental analyses. Comprising a total of 10,660 high-resolution leaf images, the dataset is meticulously categorized
Externí odkaz:
https://doaj.org/article/b2fa8213e0ac4ecfad6d24bd799aaac7
Publikováno v:
Data in Brief, Vol 51, Iss , Pp 109755- (2023)
The Face Mask Wearing Image Dataset is a comprehensive collection of images aimed at facilitating research in the domain of face mask detection and classification. This dataset consists of 24,916 images, carefully categorized into two main folders:
Externí odkaz:
https://doaj.org/article/ebfa055a08bc421f9d9353109ae81631
Publikováno v:
Data in Brief, Vol 51, Iss , Pp 109717- (2023)
We present a comprehensive dataset of 5,323 images of mint (pudina) leaves in various conditions, including dried, fresh, and spoiled. The dataset is designed to facilitate research in the domain of condition analysis and machine learning application
Externí odkaz:
https://doaj.org/article/d376019e6fe245b9a50c0dbed7a9cce1