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Object Detection
Overview
Images
1222
Dataset
23
Model
1
API Docs
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Dataset Versions
Try Pre-Trained Model
Versions
2024-02-08 10:20pm
v31
·
a year ago
2024-02-05 9:42pm
v30
·
a year ago
2024-02-05 8:55pm
v29
·
a year ago
2024-01-26 5:42pm
v28
·
a year ago
2024-01-26 3:54pm
v27
·
a year ago
2024-01-21 8:40pm
v26
·
a year ago
2024-01-19 8:59am
v25
·
a year ago
2024-01-18 7:18pm
v24
·
a year ago
2023-06-29 9:02am
v23
·
2 years ago
2023-06-18 5:37pm
v17
·
2 years ago
2023-06-15 9:34pm
v13
·
2 years ago
2023-06-15 9:29pm
v12
·
2 years ago
2023-06-15 9:13pm
v11
·
2 years ago
2023-06-15 9:11pm
v10
·
2 years ago
2023-06-15 8:54pm
v9
·
2 years ago
2023-06-14 4:02pm
v8
·
2 years ago
2023-06-14 4:01pm
v7
·
2 years ago
2023-06-14 2:12pm
v6
·
2 years ago
2023-06-06 3:36pm
v5
·
2 years ago
2023-04-07 1:40pm
v4
·
2 years ago
2023-04-07 10:36am
v3
·
2 years ago
2023-04-03 3:47pm
v2
·
2 years ago
2023-03-03 9:53pm
v1
·
2 years ago
v31
2024-02-08 10:20pm
Generated on Feb 8, 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.
2878
Total Images
View All Images
Dataset Split
Train Set
87%
2513
Images
Valid Set
8%
243
Images
Test Set
4%
122
Images
Preprocessing
Resize:
Fill (with center crop) in 2048x2048
Augmentations
Outputs per training example:
3
Flip:
Horizontal, Vertical
90° Rotate:
Clockwise, Counter-Clockwise, Upside Down
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