Fish Image Analysis

Initial
Requirements

Our client, a leading environmental organization dedicated to promoting sustainable fishing practices, approached us with a pressing challenge. They needed a solution to detect and analyze images containing a large number of fish to address the issues of overfishing and wasted catches. The goal was to leverage AI and image analysis to support responsible fishing and marine ecosystem conservation.

Obstacles We
Overcame

During the development of Fish Image Analysis, we faced several challenges:

Data Quality: Obtaining high-quality image data of fish in various conditions and settings was a significant challenge. We had to curate and clean a diverse dataset to train our model effectively.

Model Optimization: Tuning YOLOv8 for real-world fishing scenarios required extensive experimentation and fine-tuning to ensure accurate and efficient fish detection and species identification.

Scalability: Processing a large number of images in real-time posed scalability challenges. We optimized our algorithms and utilized cloud resources to handle the workload efficiently.

Accuracy and False Positives:Achieving high accuracy while minimizing false positives was a delicate balance. We continually refined our model to improve its performance.

Our team embarked on a project to develop Fish Image Analysis using Python and YOLOv8 as the core technologies. We successfully delivered a solution that achieved the following functionalities:

Fish Detection: The system uses YOLOv8's object detection capabilities to accurately identify and count fish in images, even when they are in varying positions and sizes.
Species Identification: Through AI-powered image recognition, our system can identify different fish species, helping monitor the diversity of catches and potential bycatch.
Overfishing Alert: By tracking and analyzing catch quantities, the system can raise alerts when it detects signs of overfishing, prompting timely intervention.
Catch Efficiency: The technology also assesses the efficiency of fishing operations by comparing the number of fish caught to the resources expended, minimizing wasted efforts.
Ecosystem Impact Assessment: By analyzing the composition of fish species in catches, our system aids in evaluating the impact on marine ecosystems, supporting sustainable fisheries management.

The technology
used

Final Result

Our team successfully delivered the Fish Image Analysis system, a powerful tool for fisheries management and marine ecosystem conservation. This technology has empowered our client and the fishing industry with the means to:

Monitor and control overfishing.
Reduce wasted catches and resource inefficiency.
Promote responsible fishing practices.
Contribute to the conservation of marine ecosystem

Through the integration of Python and YOLOv8, we have paved the way for a more sustainable and responsible fishing industry, ensuring that our oceans remain a vital resource for generations to come.

Our clients simply love
our work

"Even though they work remotely, communication is almost in real-time."

Uli Ebensperger

Founder, Ziggma

"Great quality deliverable with respect to timeline and business scope. Great Team to work with in general. Definitely can recommend to anyone who is looking for Hi-Fi UX Mockups. Thank you!"

Ben Koussa

Founder

"From the very first call they were the only agency that has shown real interest and trying to understand the reason behind why I ask for what I ask for. They were customer oriented all the time and delivered on demand, while proposing improvements wherever possible. Very great cooperation! They have prepared my SaaS documents they will most likely be the partner to develop it in the end!"

Marco Koehler

Co-Founder

"If I sent them an email, I would get an immediate response and not have to wait a week."

Alexander Taubenkorb

CEO, Wopio

"They don’t treat you like an everyday client. You feel like you’re really important."

Hajj Womack

CEO, TeachersInTouch

"I am so happy I took a risk and hired them."

Jeffery N. Tejcek

Communication Director, Virtual EMDR

"Know high of the highest level and maximum availability. Highly recommended."

Daniele Nardin

Co-Founder

"The quality of work was great, but they went way past schedule (could be due to Corona, who knows). I will be working with them again, though. I would recommend them for any project."

Justin Butler

CEO