Bee-health Detection 1 Image Dataset
Versions
2023-09-12 9:40am
v12
Sep 12, 2023
2023-08-22 9:30am
v11
Aug 22, 2023
2023-08-22 8:58am
v10
Aug 22, 2023
2023-08-03 11:31am
v9
Aug 3, 2023
2023-08-03 11:05am
v8
Aug 3, 2023
2023-07-27 2:47pm
v7
Jul 27, 2023
2023-06-28 11:56am
v6
Jun 28, 2023
2023-06-28 11:42am
v5
Jun 28, 2023
2023-05-31 11:36am
v4
May 31, 2023
2023-05-31 10:58am
v3
May 31, 2023
2023-05-30 7:17pm
v2
May 30, 2023
2023-05-30 6:28pm
v1
May 30, 2023
v6
2023-06-28 11:56am
Generated on Jun 28, 2023
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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.
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
957 Total Images
View All Images
Dataset Split
Train Set 83%
799Images
Valid Set 11%
102Images
Test Set 6%
56Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
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