8.2.0
2024-02-12
Version 8.2.0 brings exciting updates to enhance your experience:
- NEW YOLOv8 models: We've fine-tuned our YOLO models for even better object recognition.
- Improved User Interface: Enjoy a sleeker, more intuitive design that makes navigation smoother than ever.
- Performance Boosts: Experience faster, more responsive object detection and image classification.
- Bug Fixes: We've squashed some bugs for a smoother app performance.
We continuously improve to bring you the best object detection experience on mobile. Update now and keep discovering the world in exciting new ways!
8.0.0
2021-10-15
- New YOLOv5-v6.0 models including YOLOv5n Nano
- Bug fixes and performance improvements
7.9
2021-09-12
-New YOLOv5 release 5.0 models with nn.SiLU() activations
-Realtime IoU threshold and confidence threshold updates using a slider bar
-Bug fixes and performance improvements
7.8
2020-10-28
-YOLOv5.3 models with nn.Hardswish() activations
-Realtime IoU threshold and confidence threshold updates using a slider bar
-Landscape mode and upside down mode inference
-Bug fixes and performance improvements
7.7
2020-09-20
-Updated to use the latest YOLOv5.3 models with hardswish activations
-Added capability for realtime IoU threshold and confidence threshold updates using a slider bar
-Added capability for landscape mode and upside down mode inference
-Bug fixes and performance improvements
7.6
2020-08-30
-Optimized YOLOv5 models
-Bug fixes and performance improvements
7.5
2020-08-23
-Updated YOLOv5 models
-Bug fixes and performance improvements
7.4
2020-03-03
-Updated CoreML models
-Bug fixes and performance improvements
7.3
2020-02-15
-Updated CoreML models
-Bug fixes and performance improvements
7.2
2020-02-11
-Bug fixes and performance improvements
7.1
2019-08-13
-Bug fixes and performance improvements
7.0
2019-08-03
- Rectangular Inference at 192 x 320 on vertical 4k video
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny (8 bit k-means quantized)
- Firebase Integration
6.9
2019-07-30
- Rectangular Inference at 192 x 320 on vertical 4k video
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny (8 bit k-means quantized)
6.6
2019-05-27
- Rectangular Inference at 192 x 320 for vertical 4k video
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny (8 bit k-means quantized)
6.4
2019-05-25
- Rectangular Inference at 192 x 320 for vertical 4k video
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny support added
6.3
2019-05-21
- Rectangular Inference at 192 x 320 for vertical 4k video
- 30 FPS inference on A12 iOS devices
- YOLOv3-SPP and YOLOv3-tiny support added
6.2
2019-05-20
- Rectangular Inference at 192 x 320 for vertical 4k video
- Pinch to zoom
- Batchnorm fusion
- 30 FPS inference on A12 iOS devices
- 90 instance per image limit
6.0
2019-05-01
- Rectangular Inference at 192 x 320 for vertical 4k video
- Pinch to zoom
- Batchnorm fusion
- 30 FPS inference on A12 iOS devices
5.0
2019-04-30
- YOLOv3-SPP inference at 320x320 resolution.
- Pinch-to-zoom functionality added for 1 - 10X zoom.
4.0
2019-04-22
- YOLOv3-SPP implemented
- Inference size reduced to 320 pixels
- Conv2d() + Batchnorm2d() layer fusion implemented
3.0
2019-02-14
- Bug fixes and performance improvements
- Improved full-screen video utilization
2.2
2019-02-23
- Bug fixes and performance improvements.
2.1
2019-02-16
- Bug fixes and performance improvements
- Compatibility enhancements for different screen sizes