{"id":27255190,"url":"https://github.com/virajmavani/yolo-tensorflow-object-detection","last_synced_at":"2026-04-28T18:32:16.870Z","repository":{"id":76033200,"uuid":"130331988","full_name":"virajmavani/YOLO-Tensorflow-Object-Detection","owner":"virajmavani","description":"YOLO Object Detection using Tensorflow","archived":false,"fork":false,"pushed_at":"2018-04-20T08:58:17.000Z","size":21502,"stargazers_count":1,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-11T02:25:12.598Z","etag":null,"topics":["deep-learning","object-detection","python","tensorflow","yolo"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/virajmavani.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2018-04-20T08:18:42.000Z","updated_at":"2018-05-24T18:14:18.000Z","dependencies_parsed_at":null,"dependency_job_id":"d62e81e7-9bc2-4790-8fa9-64d00382b876","html_url":"https://github.com/virajmavani/YOLO-Tensorflow-Object-Detection","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/virajmavani/YOLO-Tensorflow-Object-Detection","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/virajmavani%2FYOLO-Tensorflow-Object-Detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/virajmavani%2FYOLO-Tensorflow-Object-Detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/virajmavani%2FYOLO-Tensorflow-Object-Detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/virajmavani%2FYOLO-Tensorflow-Object-Detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/virajmavani","download_url":"https://codeload.github.com/virajmavani/YOLO-Tensorflow-Object-Detection/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/virajmavani%2FYOLO-Tensorflow-Object-Detection/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32394322,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-28T14:34:11.604Z","status":"ssl_error","status_checked_at":"2026-04-28T14:32:37.009Z","response_time":56,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deep-learning","object-detection","python","tensorflow","yolo"],"created_at":"2025-04-11T02:19:00.132Z","updated_at":"2026-04-28T18:32:16.865Z","avatar_url":"https://github.com/virajmavani.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# YOLO-Object-Detection-Tensorflow\nYOLO: Real-Time Object Detection using Tensorflow and easy to use.\n\n## Information\n\n* I will get back soon for the issues, pretty busy.\n\n* I found it this YOLO not able to train.\n\n## Results\n\n![alt text](output/000430.jpgoutput.png)\n![alt text](output/000864.jpgoutput.png)\n\n## Instructions\n\n1. Make sure check settings.py before start to train\n```python\n# remove elements that you don't want\n# default objects from VOC 2012\nclasses_name =  [\"aeroplane\", \"bicycle\", \"bird\", \"boat\", \"bottle\", \"bus\", \"car\", \"cat\", \"chair\", \"cow\", \"diningtable\", \"dog\", \"horse\", \"motorbike\", \"person\", \"pottedplant\", \"sheep\", \"sofa\", \"train\", \"tvmonitor\"]\nclasses_no = [i for i in xrange(len(classes_name))]\nclasses_dict = dict(zip(classes_name, classes_no))\n\nimage_size = 448\ncell_size = 7\nbox_per_cell = 2\nalpha_relu = 0.2\nobject_scale = 2.0\nno_object_scale = 1.0\nclass_scale = 2.0\ncoordinate_scale = 5.0\nflipped = True\n\ndecay_step = 30000\ndecay_rate = 0.1\nlearning_rate = 0.0001\ndropout = 0.5\nbatch_size = 3\nepoch = 1000\ncheckpoint = 1000\n\n# For main\nthreshold = 0.2\nIOU_threshold = 0.5\ntest_percentage = 0.05\n\n# 1 for read a picture\n# 2 to read from testing dataset\n# 3 to read from webcam / video\noutput = 1\n# let empty if want to capture from webcam\npicture_name = ''\nvideo_name = ''\n```\n\n2. You must download [VOC 2012](http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar) and put in the same folder for multibox dataset\n3. You need to put [YOLO_small.ckpt](https://drive.google.com/open?id=0BxQQlrLbdunWSTZjaHVwUVVOUXM) in the same folder (optional) if you want to use pretrained model, but if you want to train the model by your own, follow 3.*\n    1. You can train your own model from scratch in train-classification folder\n    2. Put your images that you want to classify in train-classification/data/ (need to create it)\n    3. If you satisfied enough your model, copy model.ckpt into main folder\n```\n/\n/train-classification\n/train-classification/data/\n/train-classification/data/fish/\n/train-classification/data/cow/\n.. so on\n```\n\n```bash\npython train.py\n```\n    \n4. you must train.py in main directory first before main.py (unless if you downloaded YOLO_small.ckpt)\n```bash\npython train.py\n```\n5. test in main\n```bash\npython main.py\n```\n\n## More results\n\n![alt text](output/001432.jpgoutput.png)\n![alt text](output/003065.jpgoutput.png)\n![alt text](output/003785.jpgoutput.png)\n\n## Download Extras and put them in root first:\n\nhttps://drive.google.com/drive/folders/1xJ1xoZxWhPQp0NY5QU3bFdQhv5Z-w3G_?usp=sharing\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvirajmavani%2Fyolo-tensorflow-object-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvirajmavani%2Fyolo-tensorflow-object-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvirajmavani%2Fyolo-tensorflow-object-detection/lists"}