Dataset Versions
Versions
2023-09-13 5:27pm
v39
· a year ago
2023-06-04 5:53pm
v38
· 2 years ago
2023-05-24 10:22am
v37
· 2 years ago
2023-05-15 9:51am
v35
· 2 years ago
2023-05-15 9:43am
v34
· 2 years ago
avec noise
v33
· 2 years ago
avec blur
v32
· 2 years ago
avec saturation
v31
· 2 years ago
avec 2 augmentation
v30
· 2 years ago
avec 3 augmentation
v29
· 2 years ago
saturation new preprocessing v8
v25
· 2 years ago
noise new preprocessing v8
v24
· 2 years ago
blur new preprocessing V8
v23
· 2 years ago
original version new preprocessing v5
v22
· 2 years ago
original version new preprocessing v8
v21
· 2 years ago
noise version v5 new preprocessing
v20
· 2 years ago
saturation v5 new processing
v19
· 2 years ago
saturation v5
v18
· 2 years ago
blur v5
v17
· 2 years ago
noise version v5
v16
· 2 years ago
blur v5 new preprocessing
v14
· 2 years ago
ORIGINAL-V5
v13
· 2 years ago
saturation_version
v11
· 2 years ago
blur_version
v10
· 2 years ago
noise version
v9
· 2 years ago
Original version
v8
· 2 years ago
v31
avec saturation
Generated on May 2, 2023
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.
1064 Total Images
View All Images
Dataset Split
Train Set 87%
921Images
Valid Set 9%
94Images
Test Set 5%
49Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Saturation: Between -14% and +14%