RoboScale Training Image Dataset
Versions
2022-11-16 9:44pm
v32
Nov 16, 2022
2022-11-14 6:26pm
v31
Nov 14, 2022
2022-11-12 3:30pm
v30
Nov 12, 2022
2022-11-09 3:51pm
v29
Nov 9, 2022
2022-11-08 3:45pm
v28
Nov 8, 2022
2022-11-08 12:00pm
v27
Nov 8, 2022
2022-11-07 6:49pm
v23
Nov 7, 2022
2022-11-07 6:48pm
v22
Nov 7, 2022
2022-11-07 6:37pm
v20
Nov 7, 2022
2022-11-04 9:11pm
v19
Nov 4, 2022
v32
2022-11-16 9:44pm
Generated on Nov 16, 2022
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.
3001 Total Images
View All ImagesDataset Split
Train Set 73%
2176Images
Valid Set 22%
675Images
Test Set 5%
150Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-96% Horizontal Region, 12-71% Vertical Region
Resize: Stretch to 416x416
Modify Classes: 0 remapped, 10 dropped
Augmentations
Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -30% and +30%
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