- deep-text-recognition-benchmark VS GenerativeImage2Text
- deep-text-recognition-benchmark VS Transformer-Explainability
- deep-text-recognition-benchmark VS Calliar
- deep-text-recognition-benchmark VS sonic
- deep-text-recognition-benchmark VS ocrit
- deep-text-recognition-benchmark VS macOCR
- deep-text-recognition-benchmark VS Transformers-Tutorials
Deep-text-recognition-benchmark Alternatives
Similar projects and alternatives to deep-text-recognition-benchmark
-
sonic
🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
-
Calliar
A dataset for online Arabic calligraphy. A collection of 2500 annotated calligraphic styles.
-
Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
deep-text-recognition-benchmark reviews and mentions
-
Building an Internet Scale Meme Search Engine
https://github.com/roatienza/deep-text-recognition-benchmark (available weights are for tasks that seem similar to OCR so there is a good chance you can use it out of the box). With a good gpu it should process hundreds to thousands image per seconds, so you likely can build your index in less than a day. (Maybe you can even port it to your iphone stack :) )
https://github.com/microsoft/GenerativeImage2Text (You'll probably have to train on your custom dataset that you have constituted)
There are tons of other freely available solutions that you can get with a search for things with keywords like "image to text ocr" "transformers" "visual transformers"...
Stats
roatienza/deep-text-recognition-benchmark is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of deep-text-recognition-benchmark is Jupyter Notebook.
Popular Comparisons
Sponsored