Dataset Versions
Versions
16 datatest YOLOv10s 200 dataset
v28
· 2 months ago
20 datatest YOLOv10s 200 dataset
v27
· 2 months ago
20 datatest YOLOv10n 200 dataset
v26
· 2 months ago
28 datatest YOLOv10n 200 dataset
v25
· 2 months ago
32 datatest YOLOv10n 200 dataset-
v24
· 2 months ago
24 test YOLOv10n 200 dataset
v23
· 2 months ago
-16 test-YOLOv10n 200 dataset
v21
· 2 months ago
YOLOv8x 200 dataset
v20
· 2 months ago
YOLOv8l 200 dataset
v19
· 2 months ago
YOLOv8m 200 dataset
v18
· 2 months ago
YOLOv8s 200 dataset
v17
· 2 months ago
YOLOv8n 200 dataset
v16
· 2 months ago
YOLOv5x 200 dataset
v15
· 2 months ago
YOLOv5l 200 dataset
v14
· 2 months ago
YOLOv5m 200 dataset
v13
· 2 months ago
YOLOv5s 200 dataset
v10
· 2 months ago
2024-10-08 2:09am
v9
· 2 months ago
2024-09-24 1:14pm
v8
· 3 months ago
100 dataset resize 416
v7
· 3 months ago
100 dataset resize 1024
v6
· 3 months ago
100 Dataset no resize
v5
· 3 months ago
100 Dataset- resize 1080
v4
· 3 months ago
100 Dataset- resize 800
v3
· 3 months ago
100 Dataset- resize 640
v1
· 3 months ago
v3
100 Dataset- resize 800
Generated on Sep 22, 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.
100 Total Images
View All Images
Dataset Split
Train Set 72%
72Images
Valid Set 20%
20Images
Test Set 8%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 800x800
Augmentations
No augmentations were applied.