Free Data Quality Check

Sama gave us visibility into the data labeling process, with tight QA feedback loops to ensure the high standard of quality we required for our models.

Sama’s agents became increasingly better at labeling our data thanks to feedback loops. This iterative way of working has made them experts on our data.

For our mobile app, we needed extremely precise segmented data because we knew that every missed pixel would easily add up to millimeters of lost accuracy.

We significantly improved our training data, enhancing our object detection algorithm to identify people or doors.

Once you have a trained team, it pays off because they know what to look for. Some objects just blend into the background in images, so you need a trained eye to spot them.

Quality is important to them. You really get the sense they are there for more than just the financial transaction. They are a true partner.

Working with Sama has made a demonstrable impact on our ability not only to service our current clients better but also to expand our services to new types of clients and new markets.

Sama is interested in building collaborative relationships, fostering a sense of being an integral part of our team rather than just another transactional outsourcing company. Additionally, Sama's in-house workforce is well-trained in annotating visual data, so they came up to speed quickly, providing invaluable insights to improve our ML models.

Sama was a force multiplier for us and a key success factor for our project. They delivered high-quality annotated data on time, listened to our feedback, and were very flexible in accommodating our requests.

We used other annotation providers in the past, but our experience with Sama was superior due to the direct communication we had with the labeling team, who were with us throughout the project.

"The knowledge and processes, and employee equity, support, and wellness programs we see at Sama have set the bar for all of our other vendors."

You can imagine the heaps of images coming in from the restaurants that we work with. Most are identified by image recognition algorithms, but for outliers and edge cases, we rely on Sama.

The team quickly learned to distinguish between waste objects, which differ greatly from region to region. Communication channels remained open for feedback, with a continuous open discussion about how efforts were progressing.

Having worked with different cloud providers where the staff doing the actual work was always very hidden from us, we appreciated the transparency and social sustainability of Sama.

There’s a possibility to make an impact on legislation and on the environment, but not without accurately labeled data.

We had a ton of pictures of cows from Washington, where we are, but cows look different in Africa. Diversity in the dataset has been super challenging.

We used other annotation providers in the past, but our experience with Sama was superior due to the direct communication we had with the labeling team, who were with us throughout the project.

We had a ton of pictures of cows from Washington, where we are, but cows look different in Africa. Diversity in the dataset has been super challenging.

You can imagine the heaps of images coming in from the restaurants that we work with. Most are identified by image recognition algorithms, but for outliers and edge cases, we rely on Sama.

Quality is important to them. You really get the sense they are there for more than just the financial transaction. They are a true partner.

Sama gave us visibility into the data labeling process, with tight QA feedback loops to ensure the high standard of quality we required for our models.

Working with Sama has made a demonstrable impact on our ability not only to service our current clients better but also to expand our services to new types of clients and new markets.

We significantly improved our training data, enhancing our object detection algorithm to identify people or doors.

There’s a possibility to make an impact on legislation and on the environment, but not without accurately labeled data.

Sama’s agents became increasingly better at labeling our data thanks to feedback loops. This iterative way of working has made them experts on our data.

Once you have a trained team, it pays off because they know what to look for. Some objects just blend into the background in images, so you need a trained eye to spot them.

The team quickly learned to distinguish between waste objects, which differ greatly from region to region. Communication channels remained open for feedback, with a continuous open discussion about how efforts were progressing.

"The knowledge and processes, and employee equity, support, and wellness programs we see at Sama have set the bar for all of our other vendors."

Having worked with different cloud providers where the staff doing the actual work was always very hidden from us, we appreciated the transparency and social sustainability of Sama.

Sama was a force multiplier for us and a key success factor for our project. They delivered high-quality annotated data on time, listened to our feedback, and were very flexible in accommodating our requests.

Sama is interested in building collaborative relationships, fostering a sense of being an integral part of our team rather than just another transactional outsourcing company. Additionally, Sama's in-house workforce is well-trained in annotating visual data, so they came up to speed quickly, providing invaluable insights to improve our ML models.

For our mobile app, we needed extremely precise segmented data because we knew that every missed pixel would easily add up to millimeters of lost accuracy.