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Object Detection
Overview
Images
3716
Dataset
6
Model
6
API Docs
Analytics
Dataset Versions
Try Pre-Trained Model
Versions
2024-10-01 9:37am
v26
·
3 months ago
2024-09-22 1:49pm
v25
·
4 months ago
2024-09-22 11:02am
v24
·
4 months ago
2024-03-06 2:44am
v21
·
10 months ago
2024-01-29 2:08pm
v19
·
a year ago
2024-01-03 1:49am
v17
·
a year ago
v17
2024-01-03 1:49am
Generated on Jan 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.
5917
Total Images
View All Images
Dataset Split
Train Set
88%
5178
Images
Valid Set
8%
496
Images
Test Set
4%
243
Images
Preprocessing
Resize:
Stretch to 640x640
Filter Null:
Require at least 80% of images to contain annotations.
Augmentations
Outputs per training example:
3
Crop:
0% Minimum Zoom, 20% Maximum Zoom
Grayscale:
Apply to 25% of images
Hue:
Between -25° and +25°
Saturation:
Between -25% and +25%
Brightness:
Between -25% and +25%
Blur:
Up to 2.5px
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