Datasets:

AhmedJaheen
/

rav4-video-detections

video_id stringclasses 1 value	frame_index int64 0 1.4k	timestamp_sec int64 0 2.79k	class_label stringclasses 22 values	bbox_x1 float64 0 3.75k	bbox_y1 float64 0 2.09k	bbox_x2 float64 70.2 3.84k	bbox_y2 float64 144 2.16k	confidence_score float64 0.25 0.98	detector stringclasses 1 value
YcvECxtXoxQ	0	0	front_glass	1,674.29	562.6	2,766.43	927.36	0.8885	yolov8n-seg
YcvECxtXoxQ	0	0	front_bumper	2,437.41	1,191.25	3,741.46	1,863.02	0.8632	yolov8n-seg
YcvECxtXoxQ	0	0	wheel	261.88	1,268.56	2,569.98	2,093.19	0.8505	yolov8n-seg
YcvECxtXoxQ	0	0	back_left_light	156.71	839.32	254.94	967.16	0.6783	yolov8n-seg
YcvECxtXoxQ	0	0	back_left_door	530.1	513.23	1,211.09	1,666.88	0.4966	yolov8n-seg
YcvECxtXoxQ	0	0	hood	2,104.71	898.65	3,706.83	1,110.63	0.4476	yolov8n-seg
YcvECxtXoxQ	0	0	back_right_door	527.86	512.43	1,206.09	1,666.8	0.4296	yolov8n-seg
YcvECxtXoxQ	0	0	front_left_door	1,124.17	523.55	1,872.8	1,662.6	0.3846	yolov8n-seg
YcvECxtXoxQ	0	0	front_right_door	1,124.72	522.96	1,872.21	1,654.77	0.3161	yolov8n-seg
YcvECxtXoxQ	0	0	hood	2,106.51	906.98	3,174.66	1,091.4	0.2803	yolov8n-seg
YcvECxtXoxQ	0	0	hood	2,089.78	904.02	3,685.16	1,229.33	0.2518	yolov8n-seg
YcvECxtXoxQ	1	2	front_glass	1,672.25	563.25	2,730.6	925.58	0.8783	yolov8n-seg
YcvECxtXoxQ	1	2	wheel	261.39	1,268.93	2,570.93	2,092.35	0.8533	yolov8n-seg
YcvECxtXoxQ	1	2	front_bumper	2,444.1	1,176.14	3,744.33	1,861.36	0.6905	yolov8n-seg
YcvECxtXoxQ	1	2	back_left_light	156.98	837.83	255.31	967.56	0.6644	yolov8n-seg
YcvECxtXoxQ	1	2	back_left_door	528.3	513.74	1,210.9	1,660.1	0.5014	yolov8n-seg
YcvECxtXoxQ	1	2	back_right_door	526.14	512.79	1,205.63	1,662.3	0.4237	yolov8n-seg
YcvECxtXoxQ	1	2	front_left_door	1,124.77	525.37	1,866.67	1,663.04	0.4145	yolov8n-seg
YcvECxtXoxQ	2	4	front_glass	1,293.25	337.06	2,632.32	676.02	0.8689	yolov8n-seg
YcvECxtXoxQ	2	4	front_bumper	1,207.3	914.29	3,333.62	1,707.85	0.7361	yolov8n-seg
YcvECxtXoxQ	2	4	wheel	817.11	1,109.73	1,029.18	1,614.57	0.6486	yolov8n-seg
YcvECxtXoxQ	2	4	wheel	1,098.88	1,128.66	1,437.62	1,946.25	0.6438	yolov8n-seg
YcvECxtXoxQ	2	4	hood	1,284.61	671.65	3,182.18	965.75	0.5708	yolov8n-seg
YcvECxtXoxQ	2	4	left_mirror	895.74	524.71	1,127.78	755.7	0.5591	yolov8n-seg
YcvECxtXoxQ	2	4	wheel	1,123.86	1,634.28	3,286.87	1,950.94	0.5191	yolov8n-seg
YcvECxtXoxQ	2	4	right_mirror	2,616.04	572.56	2,768.64	678.23	0.5165	yolov8n-seg
YcvECxtXoxQ	2	4	right_mirror	897.81	526.63	1,122.81	707.17	0.4809	yolov8n-seg
YcvECxtXoxQ	2	4	wheel	1,125.25	1,232.28	3,355.33	1,952.56	0.4549	yolov8n-seg
YcvECxtXoxQ	2	4	front_right_door	948.68	323.49	1,236.34	1,486.13	0.3517	yolov8n-seg
YcvECxtXoxQ	3	6	front_glass	1,196.09	348	2,537.35	696.85	0.8881	yolov8n-seg
YcvECxtXoxQ	3	6	hood	1,251.03	678.16	3,167.4	985.53	0.7407	yolov8n-seg
YcvECxtXoxQ	3	6	front_bumper	1,256.74	912.93	3,287.82	1,651.22	0.6374	yolov8n-seg
YcvECxtXoxQ	3	6	left_mirror	815.25	526.88	1,086.19	767.29	0.6184	yolov8n-seg
YcvECxtXoxQ	3	6	wheel	588.5	1,104.84	844.62	1,630.31	0.6078	yolov8n-seg
YcvECxtXoxQ	3	6	right_mirror	2,489.04	594.49	2,627.92	690.73	0.5225	yolov8n-seg
YcvECxtXoxQ	3	6	wheel	1,054.87	1,132.49	3,177.18	1,967.28	0.4878	yolov8n-seg
YcvECxtXoxQ	3	6	front_left_light	1,354.39	763.41	1,768.16	964.86	0.3512	yolov8n-seg
YcvECxtXoxQ	3	6	front_left_door	827.74	331.62	1,164.75	1,428.89	0.3331	yolov8n-seg
YcvECxtXoxQ	3	6	wheel	1,082.94	1,124.37	1,488.7	1,963.5	0.2957	yolov8n-seg
YcvECxtXoxQ	3	6	wheel	1,093.02	1,380.24	3,217.63	1,965.28	0.2558	yolov8n-seg
YcvECxtXoxQ	4	8	trunk	377.14	565.31	1,780.85	1,383.87	0.8752	yolov8n-seg
YcvECxtXoxQ	4	8	right_mirror	3,103.4	700.51	3,252.75	856.12	0.5426	yolov8n-seg
YcvECxtXoxQ	4	8	back_glass	435.72	110.58	2,393.47	708.15	0.5056	yolov8n-seg
YcvECxtXoxQ	4	8	back_left_door	2,454.22	228.85	3,070.84	1,603.94	0.495	yolov8n-seg
YcvECxtXoxQ	4	8	wheel	2,457.81	1,244.67	2,786.01	2,154.98	0.4929	yolov8n-seg
YcvECxtXoxQ	4	8	back_glass	436.5	123.95	1,860.55	690.31	0.4631	yolov8n-seg
YcvECxtXoxQ	4	8	wheel	697.31	1,719.58	2,556.71	2,160	0.4513	yolov8n-seg
YcvECxtXoxQ	4	8	wheel	3,088.06	1,185.25	3,339.15	1,711.68	0.4491	yolov8n-seg
YcvECxtXoxQ	4	8	front_right_door	2,723.6	269.05	3,219.02	1,438.5	0.3119	yolov8n-seg
YcvECxtXoxQ	5	10	right_mirror	3,294.93	649.93	3,533.74	913.01	0.2986	yolov8n-seg
YcvECxtXoxQ	5	10	hood	3,470.54	481.12	3,839.03	1,020.18	0.2894	yolov8n-seg
YcvECxtXoxQ	6	12	front_glass	3,615.4	482.23	3,838.18	876.01	0.403	yolov8n-seg
YcvECxtXoxQ	6	12	hood	3,614.51	481.01	3,838.12	877.82	0.3525	yolov8n-seg
YcvECxtXoxQ	6	12	hood	135.82	1,060.74	663.15	1,733.35	0.3321	yolov8n-seg
YcvECxtXoxQ	6	12	right_mirror	3,429.43	643.98	3,674.93	911.99	0.2711	yolov8n-seg
YcvECxtXoxQ	7	14	back_left_light	3,412.93	1,599.87	3,641.86	1,792.08	0.5095	yolov8n-seg
YcvECxtXoxQ	7	14	back_right_door	2,867.03	234.58	3,832.47	2,160	0.2679	yolov8n-seg
YcvECxtXoxQ	8	16	back_left_light	1,450.71	1,164.3	1,750.79	1,501.17	0.3474	yolov8n-seg
YcvECxtXoxQ	9	18	trunk	643.94	1,053.6	2,219.63	2,010.41	0.4093	yolov8n-seg
YcvECxtXoxQ	9	18	tailgate	645.22	1,086.89	2,229.29	2,001.99	0.4033	yolov8n-seg
YcvECxtXoxQ	10	20	front_bumper	2,430.43	1,217.53	3,743.48	1,869.78	0.9209	yolov8n-seg
YcvECxtXoxQ	10	20	front_glass	1,666.6	564.03	2,770.2	926.31	0.8754	yolov8n-seg
YcvECxtXoxQ	10	20	wheel	263.17	1,269.51	2,564.4	2,092.12	0.8738	yolov8n-seg
YcvECxtXoxQ	10	20	back_left_light	156.93	835.47	254.79	966.57	0.7003	yolov8n-seg
YcvECxtXoxQ	10	20	hood	2,103.53	896	3,690.28	1,108.91	0.556	yolov8n-seg
YcvECxtXoxQ	10	20	back_left_door	530.79	511.87	1,213.38	1,671.12	0.4914	yolov8n-seg
YcvECxtXoxQ	10	20	back_right_door	528.78	510.9	1,208.23	1,667.9	0.4442	yolov8n-seg
YcvECxtXoxQ	10	20	hood	2,088.37	902.56	3,684.51	1,242.2	0.4127	yolov8n-seg
YcvECxtXoxQ	10	20	hood	2,105.54	904.24	3,145.37	1,097.44	0.3765	yolov8n-seg
YcvECxtXoxQ	10	20	front_left_door	1,123.49	523.81	1,865.09	1,671.28	0.3513	yolov8n-seg
YcvECxtXoxQ	10	20	front_right_door	1,124.16	523.02	1,863.9	1,661.86	0.3077	yolov8n-seg
YcvECxtXoxQ	11	22	hood	2,998.46	0	3,834.71	1,584.03	0.4994	yolov8n-seg
YcvECxtXoxQ	15	30	back_glass	7.49	8.44	2,171.82	922.61	0.3796	yolov8n-seg
YcvECxtXoxQ	15	30	back_left_light	2,804.61	267.46	3,133.52	696.6	0.3315	yolov8n-seg
YcvECxtXoxQ	15	30	back_right_light	2,803.78	253.47	3,133.37	698.74	0.31	yolov8n-seg
YcvECxtXoxQ	16	32	back_glass	3.66	0	2,189.33	1,126.45	0.4242	yolov8n-seg
YcvECxtXoxQ	16	32	wheel	2,742.21	1,540.1	3,339.21	2,160	0.3029	yolov8n-seg
YcvECxtXoxQ	17	34	back_glass	5.35	4.56	2,148.63	954.9	0.5693	yolov8n-seg
YcvECxtXoxQ	18	36	back_glass	1.69	16.66	2,272.55	945.14	0.4197	yolov8n-seg
YcvECxtXoxQ	18	36	back_right_light	2,649.04	245.29	2,960.89	714.06	0.3035	yolov8n-seg
YcvECxtXoxQ	18	36	back_left_light	2,647.88	253.66	2,959.64	713.96	0.2756	yolov8n-seg
YcvECxtXoxQ	19	38	back_glass	1.84	4.05	2,290.99	843.61	0.2792	yolov8n-seg
YcvECxtXoxQ	20	40	back_glass	2.75	22.74	2,272.49	882.72	0.6978	yolov8n-seg
YcvECxtXoxQ	20	40	back_right_light	2,537.37	245.04	2,883.55	698.89	0.3476	yolov8n-seg
YcvECxtXoxQ	20	40	back_left_light	2,531.97	258.46	2,878.64	698.04	0.3038	yolov8n-seg
YcvECxtXoxQ	21	42	back_glass	2.03	6.68	2,333.43	998	0.5506	yolov8n-seg
YcvECxtXoxQ	21	42	wheel	2,635.83	1,753.66	2,799.18	2,160	0.3051	yolov8n-seg
YcvECxtXoxQ	22	44	back_glass	2.21	20.61	2,325.57	1,039.05	0.6282	yolov8n-seg
YcvECxtXoxQ	22	44	wheel	2,613.74	1,716.28	2,807.7	2,160	0.2678	yolov8n-seg
YcvECxtXoxQ	23	46	back_glass	6.57	26.53	2,360.68	818.03	0.825	yolov8n-seg
YcvECxtXoxQ	23	46	back_left_light	2,746.2	303.05	3,137.35	756.06	0.4082	yolov8n-seg
YcvECxtXoxQ	23	46	back_right_light	2,745.78	242.89	3,147.74	753.75	0.3012	yolov8n-seg
YcvECxtXoxQ	23	46	back_right_light	1,830.41	764.31	2,125.57	985.59	0.2666	yolov8n-seg
YcvECxtXoxQ	25	50	front_right_door	20.72	678.38	723.84	1,662.11	0.3306	yolov8n-seg
YcvECxtXoxQ	25	50	right_mirror	3,575.2	1,049.78	3,835.54	1,228.36	0.2812	yolov8n-seg
YcvECxtXoxQ	26	52	hood	49.06	822.92	802.03	1,548.41	0.4316	yolov8n-seg
YcvECxtXoxQ	27	54	back_glass	3,209.14	252.48	3,835.02	838.32	0.4739	yolov8n-seg
YcvECxtXoxQ	27	54	right_mirror	0.64	817.34	155.59	907.71	0.3507	yolov8n-seg
YcvECxtXoxQ	28	56	wheel	2,663.09	1,529.75	2,876.68	2,160	0.2683	yolov8n-seg
YcvECxtXoxQ	29	58	back_glass	4.79	0	2,409.44	914.1	0.6004	yolov8n-seg

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Check out the documentation for more information.

RAV4 Exterior Video Detections

Overview

This dataset contains object detections from a Toyota RAV4 2026 exterior review video. It serves as the retrieval index for an image-to-video semantic search system.

Source video: YouTube - YcvECxtXoxQ
Detector: YOLOv8n-seg fine-tuned on the Ultralytics carparts-seg dataset (mAP50=0.666)
Frames sampled: 1397 frames at 1 frame per 2 seconds
Total detections: 3,489

Schema

Column	Type	Description
`video_id`	string	YouTube video ID
`frame_index`	int	Frame number (0-indexed)
`timestamp_sec`	int	Time in seconds (frame_index × 2)
`class_label`	string	Detected car part name
`bbox_x1`	float	Bounding box left x
`bbox_y1`	float	Bounding box top y
`bbox_x2`	float	Bounding box right x
`bbox_y2`	float	Bounding box bottom y
`confidence_score`	float	Detection confidence (0-1)
`detector`	string	Model used for detection

Classes (22 detected)

back_bumper, back_door, back_glass, back_left_door, back_left_light, back_light, back_right_door, back_right_light, front_bumper, front_door, front_glass, front_left_door, front_left_light, front_light, front_right_door, front_right_light, hood, left_mirror, right_mirror, tailgate, trunk, wheel

Retrieval Usage

import pandas as pd

df = pd.read_parquet("video_detections.parquet")

# Find all timestamps where 'hood' appears
hood_clips = df[df['class_label'] == 'hood']['timestamp_sec'].tolist()
print(hood_clips)

Detector Training

Base model: YOLOv8n-seg (pretrained on COCO)
Fine-tuned on: Ultralytics carparts-seg dataset
GPU: 4x A6000 48Gb
Epochs: 50 | Batch: 32 | Image size: 640
Final mAP50: 0.666 | mAP50-95: 0.556

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