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Object detection with Python
This document provides examples of object detection output from a deep learning model. The examples detect objects like cars, trucks, people, and horses along with confidence scores. The document also mentions using Python and TensorFlow for object detection with deep learning. It is authored by Volkan Oban, a senior data scientist.
Object detection with Python
- 1. OBJECT DETECTION withPYTHON by Volkan OBAN Example: car 79.00787591934204 -------------------------------- car 73.1831431388855 -------------------------------- car 57.52983093261719 -------------------------------- car 67.29255318641663 -------------------------------- truck 36.15168035030365 -------------------------------- truck 33.53544771671295 -------------------------------- car 80.83181381225586 -------------------------------- car 82.77863264083862 -------------------------------- car 88.76808881759644 -------------------------------- car 93.36127042770386 -------------------------------- car 88.27706575393677 -------------------------------- car 34.86555814743042 -------------------------------- truck 37.48719394207001 -------------------------------- car 71.32329940795898 -------------------------------- car 69.4364607334137 -------------------------------- car 86.5426778793335 -------------------------------- car 88.52344751358032 -------------------------------- truck 39.561888575553894 -------------------------------- car 93.05579662322998 -------------------------------- car 88.86352181434631 -------------------------------- car 89.91738557815552 -------------------------------- car 88.38690519332886
- 2. Example: car 49.28020238876343 -------------------------------- car 62.592875957489014 -------------------------------- car75.57535171508789 -------------------------------- car 79.81342077255249 -------------------------------- car 85.21997928619385 -------------------------------- car 91.146719455719 -------------------------------- person 99.26514029502869 Example: truck 96.24765515327454 -------------------------------- car 40.00747799873352 -------------------------------- car 99.91380572319031 -------------------------------- person 42.803701758384705 -------------------------------- person 59.26494002342224 -------------------------------- person 60.746097564697266 -------------------------------- person 71.09828591346741 -------------------------------- person 75.94433426856995
- 3. -------------------------------- person 79.3380618095398 -------------------------------- person 91.58018231391907 Example: person33.710235357284546 -------------------------------- person 40.8907026052475 -------------------------------- person 46.824270486831665 -------------------------------- person 60.826313495635986 -------------------------------- person 67.1332597732544 -------------------------------- person 68.77404451370239 -------------------------------- person 72.1147894859314 -------------------------------- person 78.59335541725159 -------------------------------- person 99.79391694068909 -------------------------------- person 99.81198310852051 -------------------------------- person 99.8548686504364 -------------------------------- person 99.85849261283875 -------------------------------- person 99.88847374916077 -------------------------------- person 99.9029278755188 -------------------------------- person 99.90887641906738 -------------------------------- person 99.94677305221558
- 4. Example: horse 99.4085967540741 -------------------------------- person 37.1588408946991 -------------------------------- person80.68453669548035 -------------------------------- person 96.65492177009583 -------------------------------- person 97.93082475662231 Object Detectıon (deep learning) with Python TensorFlow by VOLKAN OBAN, Ph.D. Senior Data Scientist