bee2 Image Dataset
Versions
v1
2021-12-16 9:06am
Generated on Dec 16, 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.
61580 Total Images
View All Images
Dataset Split
Train Set 88%
53928Images
Valid Set 8%
5200Images
Test Set 4%
2452Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 416x416
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Grayscale: Apply to 28% of images
Brightness: Between -32% and +32%
Blur: Up to 0.75px
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