2D Object Detection Image Dataset
v4
auto_orient_flip_darken_brighten
Generated on May 20, 2023
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.
16444 Total Images
View All Images
Dataset Split
Train Set 82%
13452Images
Valid Set 9%
1496Images
Test Set 9%
1496Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Brightness: Between -50% and +50%
Similar Projects
Car-Van-Truck-Pedestri-Cyclist
1003 images
Car-Van-Truck-Pedestri-Cyclist
1003 images
I-labelled-all-of-the-objects-in
1014 images
Pedestrian-Car-cyclist
1001 images
Object
4800 images