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SP
Object Detection
Overview
Images
210
Dataset
22
Model
6
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2024-07-04 1:40am
v25
·
8 months ago
2024-07-04 1:34am
v24
·
8 months ago
2024-07-03 10:01pm
v23
·
8 months ago
2024-06-20 10:36pm
v22
·
8 months ago
2024-06-20 10:30pm
v21
·
8 months ago
Grey 2x2
v20
·
9 months ago
Color 2x2
v19
·
9 months ago
grey full size
v17
·
9 months ago
Color Full Size
v16
·
9 months ago
V14
v14
·
10 months ago
v13
v13
·
10 months ago
v12
v12
·
10 months ago
Test Case-3
v11
·
10 months ago
Test Case-2 - gray version - full size
v10
·
10 months ago
Test Case-1 - color version - 2x2
v9
·
10 months ago
Test Case-1 - gray version - 2x2
v8
·
10 months ago
2024-03-28 6:36pm
v6
·
a year ago
2024-03-13 7:19pm
v5
·
a year ago
2024-03-13 6:10pm
v4
·
a year ago
2024-03-13 3:38pm
v3
·
a year ago
2023-12-24 9:38am
v2
·
a year ago
2023-12-24 9:33am
v1
·
a year ago
v23
2024-07-03 10:01pm
Generated on Jul 3, 2024
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.
1484
Total Images
View All Images
Dataset Split
Train Set
88%
1312
Images
Valid Set
5%
68
Images
Test Set
7%
104
Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 640x640
Tile:
2 rows x 2 columns
Augmentations
Outputs per training example:
3
Flip:
Horizontal, Vertical
Grayscale:
Apply to 25% of images
Saturation:
Between -15% and +15%
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