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Coil
Object Detection
Overview
Images
62
Dataset
23
Model
1
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2024-02-03 2:29pm
v23
·
a year ago
2024-02-03 2:05pm
v22
·
a year ago
2024-01-24 2:10pm
v21
·
a year ago
2023-11-16 11:04pm
v20
·
a year ago
2023-11-12 6:08pm
v19
·
a year ago
2023-11-02 10:31pm
v18
·
a year ago
2023-10-29 8:27pm
v17
·
a year ago
2023-10-29 8:22pm
v16
·
a year ago
2023-10-29 8:19pm
v15
·
a year ago
2023-10-28 2:50pm
v14
·
a year ago
2023-10-28 1:50pm
v13
·
a year ago
2023-10-27 10:55pm
v12
·
a year ago
2023-10-27 10:49pm
v11
·
a year ago
2023-10-23 7:53pm
v10
·
a year ago
2023-10-23 7:51pm
v9
·
a year ago
2023-10-23 7:46pm
v8
·
a year ago
2023-10-23 6:51pm
v7
·
a year ago
2023-10-23 6:41pm
v6
·
a year ago
2023-10-22 11:14pm
v5
·
a year ago
2023-10-22 1:54pm
v4
·
a year ago
2023-10-21 11:13pm
v3
·
a year ago
2023-10-21 10:54pm
v2
·
a year ago
2023-10-21 10:46pm
v1
·
a year ago
v12
2023-10-27 10:55pm
Generated on Oct 27, 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.
42
Total Images
View All Images
Dataset Split
Train Set
93%
39
Images
Valid Set
7%
3
Images
Test Set
%
0
Images
Preprocessing
Resize:
Stretch to 320x320
Augmentations
Outputs per training example:
3
Flip:
Horizontal, Vertical
Crop:
0% Minimum Zoom, 26% Maximum Zoom
Rotation:
Between -24° and +24°
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