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Honey Bee Detection Model
Object Detection
Overview
Images
909
Dataset
3
Model
1
API Docs
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Dataset Versions
Try Pre-Trained Model
Versions
883base-x7aug
v4
·
3 years ago
baseline-x7
v3
·
3 years ago
baseline
v2
·
3 years ago
v4
883base-x7aug
Generated on Apr 22, 2022
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Dataset
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YOLOv11
TXT annotations and YAML config
used with
YOLOv11
.
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
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4575
Total Images
View All Images
Dataset Split
Train Set
93%
4277
Images
Valid Set
4%
176
Images
Test Set
3%
122
Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example:
7
Mosaic:
Applied
Bounding Box: Flip:
Horizontal
Bounding Box: Brightness:
Between -20% and +20%
Bounding Box: Blur:
Up to 10px
Bounding Box: Noise:
Up to 5% of pixels
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