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BFMC
Object Detection
Overview
Images
5439
Dataset
8
Model
1
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2023-05-04 2:19pm
v16
·
2 years ago
2023-04-28 5:11pm
v13
·
2 years ago
2023-04-24 2:52pm
v9
·
2 years ago
2023-04-24 2:43pm
v8
·
2 years ago
2023-04-21 11:18pm
v7
·
2 years ago
2023-04-14 8:57am
v6
·
2 years ago
2023-04-10 11:21am
v5
·
2 years ago
2023-03-07 9:41pm
v3
·
2 years ago
v13
2023-04-28 5:11pm
Generated on Apr 28, 2023
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Dataset
Popular Download Formats
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
Choose another format.
8509
Total Images
View All Images
Dataset Split
Train Set
91%
7752
Images
Valid Set
5%
437
Images
Test Set
4%
320
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Filter Null:
Require all images to contain annotations.
Augmentations
Outputs per training example:
3
Brightness:
Between -50% and +50%
Blur:
Up to 1.5px
Noise:
Up to 2% of pixels
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