lab_data_object_detection Dataset
Versions
2024-01-14 11:10pm
v8
· 8 months ago
2023-11-15 12:19am
v7
· 10 months ago
2023-11-15 12:10am
v6
· 10 months ago
2023-11-14 11:56pm
v5
· 10 months ago
2023-11-14 11:55pm
v4
· 10 months ago
2023-11-14 11:54pm
v3
· 10 months ago
2023-11-14 11:51pm
v2
· 10 months ago
2023-11-14 5:20pm
v1
· 10 months ago
v7
2023-11-15 12:19am
Generated on Nov 14, 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.
508 Total Images
View All Images
Dataset Split
Train Set 87%
444Images
Valid Set 8%
43Images
Test Set 4%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 480x480
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Bounding Box: Flip: Horizontal