Win for FREE - an NVIDIA Jetson Nano Developer Kit. π
Participate for in this Data Science Challenge! π€πΌ
βThe Problem:
80% of the worldβs cargo is transported by ocean.
Congested ports can become a massive problem because they disrupt supply chains.
Port congestion means that ships arrive at the port and cannot load or unload, as the terminal is already full.
So, they can only queue up and wait for their turn to get a spot at the port.
π§βπ» What you'll do:
Your goal in this competition is to use satellite imagery to detect ships in ports.
The resulting algorithm will allow port managers to better allocate port resources for incoming and outgoing vessels, and make more informed decisions to manage and optimize the logistics.
π Data youβll use:
DOTA-v2.0 is a large-scale dataset for object detection in aerial images.
The dataset contains 1,793,658 object instances of 18 categories including ships, planes, harbors, and vehicles of oriented-bounding-box annotations collected from 11,268 aerial images.
π Prizes:
1st Place: NVIDIA Jetson Nano Developer Kit
2nd Place: Hugging Face Hoodie
3rd Place: Hugging Face T-Shirt
π Timelines:
Competition duration: 6 weeks.
Private leaderboard will be revealed on 2023-04-16.
π Rules:
Using external datasets is not allowed.
Pre-trained models can be used as long as they are available to everyone.
Don't cheat and have fun!
Participate: https://huggingface.co/spaces/competitions/ship-detection