birds are mine Image Dataset
Versions
culled and cropped rather than stretched
v11
Dec 2, 2021
manually balanced
v10
Dec 1, 2021
birbes
v9
Dec 1, 2021
rebalanced nameless birds
v8
Nov 29, 2021
we try with no names
v7
Nov 29, 2021
Naghty Birds wit u
v6
Nov 25, 2021
Naughty Birds with u
v5
Nov 25, 2021
naghty bird
v4
Nov 25, 2021
2021-11-25 12:50pm
v3
Nov 25, 2021
Ver2ion 1.1
v2
Nov 18, 2021
version 1.0
v1
Nov 18, 2021
v11
culled and cropped rather than stretched
Generated on Dec 2, 2021
Popular Download Formats
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
978 Total Images
View All ImagesDataset Split
Train Set 77%
753Images
Valid Set 15%
144Images
Test Set 8%
81Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Brightness: Between -20% and +20%
Bounding Box: Blur: Up to 10px
Similar Projects
Birds
381 images
bird
48562 images
birds
5000 images
Big-Cat
1724 images
B
4800 images