The Big Bee Project
Sector: Research Infrastructure • Location: United States
Source: Noozhawk
A pioneering initiative led by UC Santa Barbara in collaboration with 13 U.S. institutions to create over one million high-resolution 2D and 3D images of bee specimens and annotated datasets of bee traits. The project uses machine learning, computer vision, and crowdsourcing to analyze phenotypic variation in bees and develop new standards for natural history collection research.
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | under construction |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | A pioneering initiative led by UC Santa Barbara in collaboration with 13 U.S. institutions to create over one million high-resolution 2D and 3D images of bee specimens and annotated datasets of bee traits. The project uses machine learning, computer vision, and crowdsourcing to analyze phenotypic variation in bees and develop new standards for natural history collection research. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |