KopiKat generates a new, visually realistic duplicate of the original image, maintaining all critical data annotations. It alters the environment of the original images, for instance, adjusting factors like weather, seasons, and lighting conditions to add variety to datasets. This is crucial for fields such as object detection, neural network training, and transfer learning.
A powerful deliverability solution that results from 5 years of emailing for 130 companies in 40 industries.
MailReach uses your email address to automatically start conversations with thousands of email inboxes.
The email conversations are human, natural and meaningful to build trust. No gibberish content that can be easily flagged.
Your emails get opened, replied, marked as important and removed from spam and categories.
All this positive email engagement raises your email reputation and your deliverability. It teaches the email providers to send your emails to the inbox.
Depending how your deliverability evolves, MailReach constantly adapts to maintain it and balance your activity.
You have access to a complete and easy to understand dashboard to see your results.
You can see your deliverability score, where your warm up emails land, how many of were removed from spam, on which provider, etc.
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KopiKat's answer
Our goal with Kopikat is to strengthen practical applications, especially in scenarios where collecting an extensive dataset proves to be difficult. Kopikat is ideally designed for datasets containing up to 5,000 images, a common feature of numerous real-world AI initiatives. It equips engineers with the ability to enhance mean average precision (mAP), broaden and vary datasets—a critical edge in fields like object detection, neural network training, and transfer learning.
KopiKat's answer
KopiKat's operation is remarkably simple and efficient for its users. All a user has to do is upload one image from their dataset. KopiKat then produces numerous images showcasing different scenarios, like alterations in illumination or weather, all the while preserving the annotations consistently. This attribute considerably expands the diversity of the dataset without requiring extra images, and creates a comprehensive, superior-quality model that introduces diversity beyond what traditional data augmentation techniques can offer. This method has demonstrated an improvement of over 5% in mean average precision (mAP), without any alterations to the AI model.
Mailreach support is great. Response time and especially reaction time was super fast. Regarding warming up inboxes the tool is doing what's advertised along with teaching users how to improve deliverability at the same time.
Was landing in spam for all Google professional & Personal accounts 100% of the time. Now I'm landing in the inbox 100% of the time and have my email configured perfectly. These guys are experts, highly recommend.
Our entire experience with MailReah is positive.
Based on our record, MailReach.co seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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