Dataset Versions
Versions
2024-01-05 5:05pm
v27
· a year ago
2023-12-30 2:01pm
v26
· a year ago
Vanilla 200
v25
· a year ago
320
v23
· a year ago
2023-12-12 4:32pm
v22
· a year ago
416
v21
· a year ago
2023-10-14 10:05pm
v14
· a year ago
2023-10-06 2:50pm
v13
· a year ago
2023-10-03 6:08pm
v12
· a year ago
2023-10-03 5:57pm
v11
· a year ago
2023-10-03 3:36pm
v10
· a year ago
Preproc w- Aug. Gen.2x - Ver2
v9
· a year ago
Trial -Increased Variations-
v8
· a year ago
Preprocessed w- Aug. Gen. 2x
v7
· a year ago
Preprocessed w- Aug. Gen. 3x
v6
· a year ago
Vanilla Dataset
v5
· a year ago
2023-09-06 1:57pm
v4
· a year ago
3rd Revision -w- Null-
v3
· a year ago
3rd Revision Baseline
v2
· a year ago
2023-07-24 3:11pm
v1
· a year ago
v21
416
Generated on Dec 11, 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.
480 Total Images
View All Images
Dataset Split
Train Set 88%
420Images
Valid Set 8%
40Images
Test Set 4%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -5° and +5°
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Noise: Up to 3% of pixels
Mosaic: Applied