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cells-dmtal/1 (latest)
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cells
Object Detection
Overview
Images
36
Dataset
5
Model
1
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2024-09-13 4:58am
v5
·
5 months ago
2024-09-12 4:39am
v4
·
5 months ago
2024-08-02 11:48am
v3
·
7 months ago
2024-08-01 11:34am
v2
·
7 months ago
2024-07-25 6:16am
v1
·
7 months ago
v5
2024-09-13 4:58am
Generated on Sep 13, 2024
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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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1280
Total Images
View All Images
Dataset Split
Train Set
83%
1056
Images
Valid Set
13%
160
Images
Test Set
5%
64
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Tile:
4 rows x 4 columns
Augmentations
Outputs per training example:
3
Flip:
Horizontal, Vertical
90° Rotate:
Clockwise, Counter-Clockwise, Upside Down
Grayscale:
Apply to 41% of images
Hue:
Between -18° and +18°
Mosaic:
Applied
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