xview-yolov3
yolov3
| xview-yolov3 | yolov3 | |
|---|---|---|
| 1 | 4 | |
| 245 | 10,000 | |
| 0.8% | 0.4% | |
| 6.3 | 8.4 | |
| 4 days ago | 5 days ago | |
| Python | Python | |
| GNU Affero General Public License v3.0 | GNU Affero General Public License v3.0 |
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xview-yolov3
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How hard is this task - counting the number of cars from an aerial video clip
Use pretrained object detection models on aerial datasets. One of the datasets in xview dataset or DOTA dataset. You can use this repository : https://github.com/ultralytics/xview-yolov3
yolov3
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[Tutorial] "Fine Tuning" Stable Diffusion using only 5 Images Using Textual Inversion.
Hey. I only have experience using the official repository, and only use Linux. Could you try the solutions here and see if it helps? https://github.com/ultralytics/yolov3/issues/1643
- How to train a model for object detection in Golang?
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Engineering Student AI model turns sign language to English in real time.
YOLOv3: https://github.com/ultralytics/yolov3
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I don't know how to train a YOLO v3 model with some custom data that is labeled in an unusual form (XML files)
Each image has an XML file associated with it. The XML files have the corresponding labels and bounding boxes, so I can write a script to convert them into this form, and follow this tutorial on training custom data.
What are some alternatives?
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
edge-tpu-tiny-yolo - Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.
yolov7_d2 - 🔥🔥🔥🔥 (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
HASS-Deepstack-object - Home Assistant custom component for using Deepstack object detection
yolov5-crowdhuman - Head and Person detection using yolov5. Detection from crowd.
tensorflow-yolo-v3 - Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)
kapao - KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.
yolo-hand-detection - A pre-trained YOLO based hand detection network.