You can try Dehashed (Paid, only a few bucks) and Holehe (Free. If you don't want to install it, use it through epieos.com). Source: over 1 year ago

After further looking it seems similar to https://dehashed.com. Source: over 1 year ago

I'm sorry this happened to you, but don't be so surprised. Phishing and MITM attacks are alive and well, and 2-FA is just a bandaid for bad password practices. You might do well to check on dehashed.com for your own credentials. Source: over 1 year ago

2 useful resources are: dehashed.com and https://github.com/hmaverickadams/breach-parse from heath adams. Keep in mind that it is not a good idea to use these in an unethical way. Doing illegal stuff can and will get you in trouble. Source: over 1 year ago

Agree with this! Sites like Dehashed will let you search for breached usernames and have relatively cheap options for a week’s worth of access. Source: almost 2 years ago

Of course, you can write your own code, in that case, think of it as an interactive matplotlib then! Also, it helps to mention we run a startup Datature, that is a no-code MLOps platform, hence explaining why we are focusing on removing the coding portion of this process :P. Source: almost 3 years ago

A while ago, we announced here that we built Datature and a bunch of users gave feedback and even built MaskRCNN models on our platform! However, we were sending collab updates back and forth - it was a mess. Hence we made Portal for any TensorFlow users to load TF2.0 models (any models off TF2 Model Hub works) and inspect your model visually on your dataset. Source: almost 3 years ago

If you'd like to train a tensorflow object detection model, you can check out https://datature.io - theres about 30 different models you can select from and you can add augmentation to your pipeline. Source: about 3 years ago

If you will be training an object detection model at the end, you can check out https://datature.io - you can annotate your data in browser (no installation) and train an object detection model + deploy when you are done for free! Source: about 3 years ago

Feel free to try it out at https://datature.io - additionally, we are always looking out for feedback and feature requests. We are working more MLOps feature to support teams, so let us know of your thoughts :). Source: about 3 years ago