Dataset Versions
Versions
baseline for removal
v15
· 7 months ago
5bo for merge
v14
· 7 months ago
blur for merge
v13
· 7 months ago
colour for merge
v12
· 7 months ago
very small photos
v11
· 8 months ago
small photos
v10
· 8 months ago
15box blackout
v9
· 9 months ago
mild colour variation
v8
· 9 months ago
3x blurry
v7
· 9 months ago
intense colour variations
v6
· 9 months ago
5 box blackouts
v5
· 9 months ago
brightness
v4
· 9 months ago
exposure
v3
· 9 months ago
5x blurry
v2
· 9 months ago
baseline
v1
· 9 months ago
v8
mild colour variation
Generated on Feb 19, 2024
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.
4779 Total Images
View All Images
Dataset Split
Train Set 88%
4182Images
Valid Set 8%
398Images
Test Set 4%
199Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -8% and +8%