Arabalar Image Dataset
Versions
2024-03-28 9:40am
v12
Mar 28, 2024
2024-03-28 9:17am
v11
Mar 28, 2024
2024-03-28 9:13am
v10
Mar 28, 2024
2024-03-28 8:59am
v9
Mar 28, 2024
2024-03-23 1:03pm
v8
Mar 23, 2024
2024-03-23 1:01pm
v7
Mar 23, 2024
2024-03-23 12:52pm
v6
Mar 23, 2024
2024-03-23 12:48pm
v5
Mar 23, 2024
2024-03-23 12:44pm
v4
Mar 23, 2024
2024-03-23 11:14am
v3
Mar 23, 2024
2024-03-21 9:54am
v2
Mar 21, 2024
2024-03-21 9:38am
v1
Mar 21, 2024
v12
2024-03-28 9:40am
Generated on Mar 28, 2024
Popular Download Formats
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.
1088 Total Images
View All Images
Dataset Split
Train Set 88%
954Images
Valid Set 9%
93Images
Test Set 4%
41Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 2.5px
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