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beatrix-vision/3 (latest)
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Beatrix Vision
Object Detection
Overview
Images
289
Dataset
4
Model
2
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2023-11-09 10:25am
v4
·
a year ago
2023-11-09 10:21am
v3
·
a year ago
2023-11-05 11:07am
v2
·
a year ago
2023-11-03 9:25am
v1
·
a year ago
v3
2023-11-09 10:21am
Generated on Nov 9, 2023
Download
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.
747
Total Images
View All Images
Dataset Split
Train Set
92%
690
Images
Valid Set
5%
41
Images
Test Set
2%
16
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 800x800
Augmentations
Outputs per training example:
3
Flip:
Horizontal, Vertical
90° Rotate:
Clockwise, Counter-Clockwise, Upside Down
Rotation:
Between -30° and +30°
Shear:
±15° Horizontal, ±15° Vertical
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